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Download Free PDF. Grid Inter-Operation Mechanisms. Alexandru Iosup. A short proressional of this paper. Download Download PDF. Translate PDF. Fokkema, voorzitter van het College voor Promoties, in het openbaar te verdedigen op dinsdag 20 januari om Dit proefschrift is goedgekeurd door de promotor: Prof.

Sips Technische Universiteit Delft, promotor Dr. Epema Technische Universiteit Delft, copromotor Prof. ASCI dissertation series number This work was performed in the context of the Virtual Laboratory for e-Science project www. Детальнее на этой странице PDS Group provided hosting and equipment.

Copyright c by Alexandru Iosup. All rights reserved. No part of the material protected by this copyright notice may be reproduced or utilized in any pluus or by any means, electronic or mechanical, including photocopying, recording or by any information storage and retrieval system, without prior written permission from the microsoft office 2019 professional plus project visio vl tr a ustos 2019 free.

For mivrosoft information or to ask for such permission, contact the author at Vll. Iosup gmail. Every precaution has been taken in the preparation of this thesis. However, the author assumes no responsibility for errors or omissions, or for damages resulting from offixe use of the information contained herein.

To my family and friends, with love. If your name has been left out, please accept my non-nominative thanks. I have done the projects for both the B. Steph, thank you for all the help! I would like to thank Henk for being always present when I needed advice.

The person who has microsoft office 2019 professional plus project visio vl tr a ustos 2019 free me the prifessional during my PhD years — is my research supervisor, Dick Epema. I managed to tell Dick then that grid computing was a research professionla good only for republishing old research results, and that scheduling has no future, research-wise.

An interesting discussion ensued, and, as it q out, midrosoft PhD thesis is mainly about scheduling in grid computing. Dick, I was wrong, though my harsh statements can be matched microaoft many examples from the published grid computing research of the past decade.

I have learnt a great deal about the professional side and even a little bit about the personal side of Dick Epema in these four years. He gave me enough space to enjoy doing my research, encouraged me whenever he felt I was feeling low, and prevented me as much as possible from over-reaching.

He contributed to my working environment being pleasant yet challenging. Most importantly, he helped a great deal in making our joint microsoft office 2019 professional plus project visio vl tr a ustos 2019 free really successful.

Thank you very much for all the help, Dick Epema! In the summer ofI started working on a grid performance evaluation tool, which later evolved into the GrenchMark framework Chapter 5. I was also helped for this work by the Ibis grid programming toolkit creators, Jason Maassen and Rob van Nieuwpoort. The ensuing discussions with Ramin Yahyapour, Carsten Ernemann, Alexander Papspyrou, and the rest of the group, led to a better understanding of the current needs for a grid performance evaluation framework.

Work in computer resource management is always dependent on realistic or microsoft office 2019 professional plus project visio vl tr a ustos 2019 free workloads, and for grids, which microsoft office 2019 professional plus project visio vl tr a ustos 2019 free some of the largest and most complicated computing systems to date, even more so.

At almost the same time, I have also started to work with Javier Bustos-Jimenez on understanding the characteristics of volatile grid environments those environments set-up tempo- rary, for a multi-institute project. I also want to thank the Condor team members, and especially Zach Miller, Matt Farrellee, and Tim Cartwright, for welcoming and working with me without reserves. Condor rocks, no kidding. During the remaining two years of my PhD project duration I had the pleasure to collaborate with a wonderful group of people.

In particular, I would like to thank Radu Prodan and Thomas Fahringer for their help, including facilitating my research visit to U. Innsbruck in the summer of Thank you very much for нажмите чтобы перейти the time to evaluate this long PhD thesis.

My basketball team-mates have also been there at all times, since I met them tri-weekly in training and in low-level Dutch league games, and oftentimes in international basketball tournaments.

Last, but certainly not least, Visioo would not be here to tell this long story without constant support from my family. Given that our daily activity rely on these services, it is surprising how little attention we give to the service provider.

In a competitive market, the service providers tend to integrate into alliances that provide better service at lower cost. For example, profesisonal hundreds of airlines or various sizes exist e. Other day-to-day utilities, such as the telephone, water, and electricity, are similarly integrated and operated.

However, the computer, which is a newer daily utility, still lacks such integration. Computers are becoming more and more important for the well-being and the evolution of society. Over the past four decades, computers have permeated every aspect of our society, greatly contributing to the productivity growth1 [Oli00; Jor02; Pil02; Gom06].

The impact of computer-based information technology IT is especially important in the services industry and in research [Jor02; Ber03a; Tri06; i], arguably the most important pillars of the current U. Coupled with the adoption of computers, the growth of the Internet over the last decade has enabled millions of users to access information anytime and anywhere, and has transformed information sharing into a utility like any other.

However, an important category of users remained usros the users with large computational and storage requirements, e. Thus, in the mid-nineties, the vision of the Grid as a universal computing utility was formulated [Fos98]. While the universal Grid has yet to be developed, large-scale distributed computing infrastructures that provide their users with seamless and secured access to computing resources, individually called Grid parts or grids, have been built throughout the world, e.

The subject of this thesis is the inter-operation of grids, a necessary step towards building the Grid. Grid inter-operation raises numerous challenges microsoft office 2019 professional plus project visio vl tr a ustos 2019 free are usually not addressed in the existing grids, e. We review these challenges as part of the problem of grid inter-operation in Section 1. New research challenges arise from the number and variety of existing microsoft office 2019 professional plus project visio vl tr a ustos 2019 free, for example the lack of knowledge about the characteristics of grid workloads and resources, or the lack of tools for studying real and simulated grids.

We present these challenges in Section 1. In Section 1. However, the vast majority of these grids work in isolation, running counter to the very nature of grids. Two research questions arise: mjcrosoft. How to inter-operate grids? What is the possible gain of inter-operating grids? Answering both questions is key to the vision of the Grid; we call these question the problem microoft grid inter-operation.

Without answering the second, the main technological alternatives to grids, large clusters and supercomputers, will remain the choice of industrial parties. Resource Ownership The grids must be inter-operated without interfering with the ownership and the fair sharing of resources. Scalability The inter-operated grid must be scalable with respect to the number перейти на страницу users, jobs, and resources.

Trust and Accounting The resource sharing in the inter-operated grid must be accountable and should involve only trusted parties. Reliability The inter-operated grid must attempt to mask the failure of any of its components. Currently, there is no common solution to this problem. A central meta-scheduler is a performance bottleneck and a single point of failure, and leads to administrative issues in selecting the entity that will physically manage the centralized scheduler.

A qualitative comparison is possible between the centralized architecture, which is the most-used architecture основываясь на этих данных large-scale cluster and supercomputer systems, and the architectures used for building grid environments. Thus, we formulate in this section a third research question: 3.

How to study grid inter-operation? We identify two main challenges in answering this question это windows 7 enterprise 32 oder 64 bit free сообщение are addressed in Chapters 3 and 4, and in Chapters 5 and 6, respectively : lack of knowledge about real grids, and lack of test and performance tools.

Little is known about the behavior of grids, that is, we do not yet understand the characteristics of the grid resources and workloads. Mostly because of access permissions, no grid workload traces are available to the community that needs them. Moreover, the simulation of grid environments is also hampered, as the several grid simulation packages that are available lack many of the needed features for large-scale simulations of inter-operated grids.

The framework comprises two main components: a toolbox for grid фраза windows 10 build 1903 iso free считаю research, and a method for the study of grid inter-operation mechanisms.

We describe these two components in turn. We describe each of the four tools in turn. Over the past two years, we have built the Grid Workloads Archive GWAwhich is at ystos same time a workload data exchange and a meeting point for the grid community. We have introduced a format for sharing grid workload information, and tools associated with this format. Using these tools, we have collected and analyzed data from nine well-known grid environments, with a total content of more than 2, users submitting more than 7 million jobs over a period of over 13 operational years, and with working environments spanning over sites and comprising over 10, resources.

The GWA both content and tools has already been used in grid research studies and in practical areas: in grid resource management [Li07c; Li07e; Li07f; Ios06a; Ios07d], in grid design [Ios07c], in grid operation [Ios06b], and in grid maintenance [Ios07e; Str07].


Microsoft office 2019 professional plus project visio vl tr a ustos 2019 free. Grid Inter-Operation Mechanisms


Following consecutive levels of complexity, the configuration is directed to the design and programming of algorithms that simulate the operation of the logical structure of the process that underlies the phenomenon to be represented graphically.

The modeling of a process, in order to visualize it, includes different operational moments: 1 defining the flow diagrams and the forms of representation, 2 selecting inputs and outputs of the processes for each of the events and activities, and 3 obtaining or designing the algorithms that synthetically define their relationship in the analyzed process. The configuration has to point to the definition of an explanatory model that is represented and, therefore, to the logical structure that underlies Curcin et al.

An example of a software tool that allows the configuration of process visualizations by generating algorithmic art is processing Reas and Fry, ; Terzidis, ; Greenberg et al. In machine industry and manufacturing methods, control systems such as the Supervisory control and data acquisition SCADA incorporate graphical user interface GUI and allow users to interact with electronic devices, computers, networked data communications through graphical icons, and audio indicator Boyer, ; Siemens, The property that is sought in a configuration of the visualization of a process is being self-explanatory , an objective condition of being able to express the autonomous mechanics of a process easily understood.

Getting into the internal complexity of phenomena involves defining the different layers of sub- or super-processes that participate or overlap in strata, which in turn requires developing and mastering complex visualization tools. The specifications for the configuration of an interactive visualization are framed in the experimental and demonstrative stages of the research.

In the comprehensive visual reconstruction of an organization, the convergence of data visualization and data analysis has become indispensable. The goal is to provide—in an interactive way—simultaneous calculation and visualization of the interconnected relationships among variables, distributions, and flow of processes in the different layers and phases of systems in organizations.

Visual analysis, modeling, and simulation of ecosystems and organizations are quite common, especially in the field of topological data analysis Xu et al. Complex adaptive systems modeling can be found in a wide range of areas from life sciences to networks and environments CASModeling, Analysis and visualization of large networks can be performed with program packages, such as Pajek Mrvar and Batagelj, The property that the configuration of an integrative visualization has to pursue is the ubiquity in order to accomplish a synthetic and holistic vision and analysis, which can be characterized as the capacity of understanding the complexity of a system by making it visible.

The final step in the encoding of data visualization reaches the definition of the cross-layers of the functional system, which means to visually configure the vertical interconnection between the processes at their different layers. Figure 3 shows a representation of the multilayered innovation ecosystem that involves science, technology, and business sub-ecosystems as an example of cross-layer analysis of collaborative network to investigate innovation capacities Xu et al.

Example of cross-layer analysis and visualization of a collaborative network in a science—technology—business ecosystem. Source: Xu et al. The fourth node of the communication framework is the context, which in data visualization is developed by graphic design. The effectiveness of the design of data visualization is evaluated by its impact on the user, and it is explained by the mechanisms of human perception of esthetic forms in particular contexts.

The context is the criterion that classifies the approach modes to visualization and the esthetic forms of graphic design adopted. Visualization must be meaningful. It has to pursue the properties of any communication act—clarity, concreteness, saving time, stimulating imagination and reflection, empowering the user, etc.

In the subjective approach, the idea of context in its association with graphic design has to be defined considering the human—computer interaction HCI. The principles of visual representation for screen design and the basic elements or resources used such as typography and text, maps and graphs, schematic drawings, pictures, node-and-link diagrams, icons and symbols, and visual metaphors should be observed.

Engelhardt in his analysis of syntax and meaning in maps, charts, and diagrams establishes a classification of the correspondence systems between design uses and graphic resources Blackwell, Complementing the coding that the brain automatically performs, the design can be used for recontextualization.

The property that data visualization pursues through its graphic design in a subjective approach is communicativity , an essential condition or quality of being able to convey meanings from one entity or group to another through the use of mutually understood signs, symbols, and semiotic rules.

Data visualization plays a critical role in multiple professional and academic fields, which means that it needs to adapt to particular specifications.

The objective approach points to the context of professional specialization; for that reason, the graphic design must be basically functional in nature. Communication focuses on how to identify, instantiate, and evaluate domain-specific design principles for creating more effective visualizations Agrawala et al.

Graphic design is associated with graphic representation that can help the audience to understand better the relevant information. For instance, contour plots, heat maps, scatter-line combo, 3D graphs, or histograms can be especially useful in meteorology and environment, whereas line graphs, bar graphs, pie charts, mosaic or Mekko charts, population pyramids, and spider charts are usually more useful in marketing. Graphic design, to be effective, has to adapt to the functional needs in such a way that it has to modulate other principles of visualization.

From an objective approach perspective, the property that data visualization pursues through its graphic design is functional adaptability , a formal condition that refers to the ability to change in order to suit the needs of a new context or situation. The properties that graphic design of data visualization must meet in an informative approach can be assumed as properties of journalism.

In the field of data journalism, numerous examples of application of data visualization can be found, which are used to help to tell a story to readers Cohen, In a fast-changing informational environment, graphic design in data visualization fundamentally has to be dynamic Weber and Rall, In the commercial approach, the graphic designer does not only try to capture the attention and interest of the user but also tries to convince him of the benefits of a product and a service.

Visual communication can be fundamental as a complement of social influence. Graphic design at this level is oriented to the presentation of a service, a concept, or a product, in which a clear persuasive intention is implied. The property that data visualization pursues through its graphic design in a commercial approach is the persuasivity , an objective condition of being good at causing someone to do or believe something through reasoning or the use of temptation.

In contexts where learning or research processes take place, the design of data visualization is a factor of great importance. The synthesis and summary of data must be given in clear, attractive, and comprehensive graphic visualizations that show the logic of the internal connection of the elements or factors that participate in highly complex phenomena.

On the other hand, visualization requires user interaction, so the design has to adapt to the different phases of the learning or research process, or of discovery, be demonstrative, suggestive, progressive, etc.

In the process of designing interactive visualizations for learning process, where performance, trial, and error are fundamental parts, in order to attempt to balance expressiveness, efficiency and accessibility visualizations can be greatly enhanced by interaction and animation Bostock et al. Educational and scientific research approaches usually pursue synthetic graphical designs adapted to technical profiles. Areas of knowledge and their relationship based on the scientific production of UPC researchers.

Source: Future UPC Interactive visualizations are associated with techniques such as storytelling, which in turn are closely linked to graphic design. Plot, emotional connection, and simplicity Less is more have been described as three storytelling techniques for graphic design Schauer, Investigative journalism is also one of the most important sources for producing interactive data visualization designs. The latest editions of the Online Journalism Awards OJAs, or the Data Journalism Awards provide numerous examples of projects that allow interactive exploration.

The graphic design of data visualization in a scientific approach is a challenge that can be explained by different perspectives. From a technological point of view, there are a large number of programs that provide solutions to support research and scientific communication, such as CartoDB Carto, or Vizzuality cfse, Finally, numerous companies in the field of visualization maintain a commitment to scientific dissemination and social responsibility associated with a vision that transcends the pragmatic use of visualization and data analysis Periscopic, The property that data visualization pursues through its graphic design in a scientific approach is the integrativity , a condition of gathering in a visual unit the most detailed possible set of data and information of a complex reality with the possibility of interacting and experimenting with it.

The fifth function of data visualization is to communicate relevant and objective information—understood as knowledge—in the most efficient way through the appropriate media. The communication efficiency in editing the content of data visualization is measured in relation to its correctness, completeness, timeliness, accuracy, form, purpose, proof, and control.

This major concern indicates the substantive contribution of the quality of the media diffusion of information on data visualization evaluation. Systems that verify the quality of the information have become extremely important.

Not respecting this fundamental principle can lead to problems of social perception. The basic characteristic that data visualization pursues through its media edition for diffusion is quality based on content rigor , an essential condition associated to reliability and verifiability that includes other characteristics—mentioned above—such as correctness or completeness.

The navigability of data visualization can be conceptually examined along three dimensions: clarity of target, clarity of structure, and logic of structure Wojdynski and Kalyanaraman, Applying the basic principles of accessibility that have been described as recommendations in the framework of the Web Content Accessibility Guidelines WCAG 2.

Operations on a visualization interface allow the identification of salient patterns at various levels of granularity Chen et al. In the data-driven era, the understandability of the user interface is crucial to make timely decisions Keim et al. Hypermediality refers to digital content that, in addition to being in multimedia format, is interconnected in its configuration in order to facilitate navigation by user interaction.

Hypertextuality refers to hypermediality restricted to the web publishing format. Multiples cross-platform data visualization solutions such as RGraph, Anychart, ZingChart, and DataGraph created by Visual Data Tools, such as Zoomcharts, are, among others, being developed by software companies. Figure 5 shows an example of how the results of scientific research can be integrated in data journalism through innovative visualizations including multimedia contents being potentiality broadcasted in multiplatform media.

Screen capture of the Data Journalism Award Best visualization large newsrooms. Organization: The New York Times. InSense, ManyEyes, and TweetPulse are some of the social big data applications that allow creating visualizations from collecting user experiences in collaborative environments through wearable data collection systems Blum et al. The evaluation of the efficiency of data visualization is also related to its capacity for transmediality, where consumers play an active role in different platforms and media Chen et al.

Investigative journalism also incorporates the concept of data storytelling or data narrative where ideas must be supported by data while maintaining and demonstrating rigor in their processing. Elements that participate in the narrative according to info graphic taxonomies have been categorized Ruys, In the last decade, publications on the convergence of data visualization and data storytelling are experiencing rapid growth Segel and Heer, ; Hullman et al.

The multimedia interactivity or participativity is the ability to promote interactive access to users in order to spread a message or a story, a demonstrative condition that can be used to measure the communication efficiency of data visualization once it is projected in the media.

Is it still meaningful to talk about different mediums at all? Metamediality, applied to data visualization, can be understood as a transcendental condition in as much as its aim is to overcome the figure of the medium as intermediary, seeking to transcend the reality that it explains, creating a new one Kay and Goldberg, Metamediality can be understood as a mix between metafiction and intermediality, ranging from augmented reality AR as an interactive experience, and hyperreality, where consciousness is unable to distinguish reality from a simulation, to mixed reality MR as the merging of real and virtual worlds to produce new environments and visualizations, where physical and digital objects coexist and interact in real time.

The possibility of recreating and living the data visualization by the user constitutes a transcendental capacity of experiment-ability that defines data visualization when it transcends the medium where it is projected. In the visualization process and as a culmination of it, the requirements arising from the interaction and user experience must be considered, which are defined as components of usability. Nielsen Norman Group, Learnability in data visualization can be defined as the attribution or basic quality necessary to enable a user to learn from it and learn to interact with it.

The network chart shown in Figure 6 illustrates how innovative software and applications are leading a new open approach for data visualization that allows the user to customize the parameters of their preferences according to their own criteria. The second level of the user experience in the use of data visualization occurs when the user is active and has an autonomous experience. Here, efficiency is evaluated as a formal requirement of usability that is defined in terms of resources, such as time, human effort, costs, and materials ISO, deployed for the accomplishment of tasks.

Efficiency related to the accomplishment of tasks is a requirement that can be evaluated by observing the quality of the autonomous experience that the user has when using and interacting with the visualization. Efficiency in usability can be measured based on performance data—applying methods, similar to Ads Quality Score that is obtained by analyzing the relevance of the content, the loading speed, the quality, and relationship of the images, texts, links, etc.

Google, Obtaining major detail about the relation between user performance and experience is possible. For instance, in life-logging services, different factors of user experience are recorded. A classic example of communication effectiveness can be observed in the famous Anscombe quartet that Edward Tufte used to illustrate the importance of visualization as an instrument of analysis and therefore for the transfer of knowledge Tufte, The effectiveness and performance as a component of the usability of a visualization comes from the use that visualization makes of the resources of the human visual system as a processor to detect patterns, trends, or anomalies, which explains the use of facilitating plugins based on perceptive factors.

A higher level of complexity in the requirements for good visualization based on the user experience is reached when the user is empowered by the acquired knowledge and expert mastery of the visualization tool.

Here, the requirement that visualization must achieve is to enable the user to improve his experience by incorporating his own contributions or preferences, expanding the framework of action, and applying this experience to other cases.

Here, it is necessary to consider the competencies of the user in relation to the configuration of the human brain, which in turn corresponds to the different dimensions of the human as a self-conscious being. As in the case of effectiveness, reestablishing proficiency can be improved in an assisted manner. The evaluation of the usability of data visualization tools can be carried out by studying the errors made by the user with the objective of introducing improvements for future prevention and for enhancing their robustness.

The supportiveness is a requirement that seeks to empower the user for his success through training services, help, support consultation generated by self-learning automated systems that identify and correct errors, and irregularities.

Applied to data visualization tools, such as Lyra, this ability has been studied in association with their interactive capacity Satyanarayan and Heer, Interactive visualizations have been incorporated into the design of applications in the context of machine comprehension based on error analysis, for example, in NLP natural language processing such as Errudite Wu et al.

In the evaluation of visual communication, it has been proposed to obtain early feedback on the level of user satisfaction through questionnaires or qualitative interviews, as well as through analytics of the use of visualization and other more sophisticated techniques such as movement analysis eyes when users use visualization Agrawala et al. There are studies on usability and the user satisfaction of hardware—software interfacing visualization that have demonstrated the need to develop educational research on the use of display technologies, such as in the field of learning programming Ali and Derus, Experimental evidence indicates that research on systems for evaluating the degree of accomplishment of data visualizations is still incipient.

The results of the study conducted in this article can be classified into two groups: theoretical— which include a dimensional factors, b characterization of achievements—and practical , which include c types of data visualization, d functions, e principles of assessment, and f professional competences of data visualization.

Table 2 shows the dimensional taxonomy with indication of the factors of completeness and complexity for each stage of procedure and progress of data visualization.

Dimensional taxonomy of data visualization: factors of completeness and factors of complexity. The nature of the conditions or properties in the procedure of data visualization follows a common pattern of a sequential order. Table 3 shows the following: in the basic layer, substantial or essential conditions that must be achieved by data visualization; in the extended, formal conditions; in the synthetic, modal conditions; in the dynamic, objective conditions; in the interactive, demonstrative conditions; and finally in the integrative layer, transcendental conditions.

From a practical point of view, the design of a dimensional taxonomy of data visualization may cast fresh light on the types, functions, principles, and required competences for data visualization. Dimensional taxonomy of data visualization: properties or conditions of data visualization.

Once an object-centered model of data visualization has been defined—as previous exploratory and experimental studies have shown Cavaller et al. Variables, types of visualization, and graphical representation by goals from the perspective of an object-centered data visualization model Cavaller et al.

According to the defined taxonomy, factors, and achievements, the functions of data visualization are the following see Table 5 :.

Taxonomy of data visualization: functions, principles, and competences in data visualization. The first function of data visualization is to show the relationship among the parameters that describe a phenomenon, a process, a system, or any observable subset of the real world. The third function is to communicate, that is, to convey meaning—transforming data into information—to be understood by someone. The fourth function is the dissemination of a meaning content by a graphic design appropriate to the context where it will be communicated.

The fifth function is to communicate relevant and objective information in the most efficient way through the appropriate media. The sixth function of data visualization is to observe the restraints, capabilities, and conditions from the users in order to enhance the communication performance. Data visualization can be assessed according to six different principles of interests.

The principle of analytical interest states that data visualization is right in so far as it keeps scientific rigor, order, and method in the quantitative procedures.

The principle of functional or pragmatic interest states that data visualization is right in so far as the graphical representation has a practical utility and added value over other communicative forms facilitating their comprehension. The principle of managerial interest states that data visualization is right in so far as it is able to package data-message and graphic representation in a singular configuration that promotes the understanding of a meaningful communication.

The principle of interest for efficacy states that data visualization is right in so far as, taking into account the professional, social and cultural context and target; it produces the intended communicative result by a suitable design. The principle of interest for efficiency states that data visualization is right in so far as it achieves the communication goals by the optimal means of communication with maximum benefits and minimal use of resources. The principle of appraisal interest states that data visualization is right in so far as it receives a positive assessment from the user in terms of usability and of other factors related to H—M interaction.

According to the functions and principles mentioned above, data visualization can be defined as a multidisciplinary field where professionals need a wide range of knowledge specializations and professional competences such as data analysis, data graphic representation, programming, graphic design, media publishing, and human—machine interaction.

The fundamental conceptual findings of the study include the following:. These layers, obtained by analytical criteria, indicate the degree of the internal complexity of the organized entity or a phenomenon that is represented, and they are defined in order to facilitate the systematic application of object-oriented data visualization.

The process of data visualization must be addressed following the unfolding of the possibilities that arise from the combination of these factors, reaching the observed achievements at each crossroads between communication component x layer of organizational complexity see Figure 7. Illustrative representation of the dimensional taxonomy for object-oriented data visualization from the perspective of communication sciences: elements-axes as factors of completeness and layers spheres as factors of complexity.

Source: Own elaboration. Previous theoretic and practical studies have led to the assumption that data visualization is mainly instrumental. Conversely, the results of this study reveal that the potentialities of the analytical functions of data visualization are strictly related to its ability to show the scale and the increasing intricacy of the networked organization of a complex system, in which relationships and processes are interconnected.

In other terms, the efficacy of data visualization not only depends on the completeness of its extended deployment taking into account communication factors but also on its in-depth unfolding following the level of organizational complexity in which the analysis has been performed.

This holistic approach enables data visualization to be understood as the visual representation of knowledge, after data formalization and data analysis. As the key time that culminates and completes data processing, data visualization summarizes the underlying background knowledge that potentially initiates a new inquiry in the innovation cycle.

For an open discussion, it must be pointed out that the completion of data visualization, according to the proposed taxonomy, culminates data processing cycle, making visible the knowledge background. On this basis, scientific research, technological development, and transfer deploy the cycle of innovation Cavaller, , which, in turn, pushes data processing cycle for the extension of scientific knowledge see Figure 8. So, in a major hyper-cycle, data processing and innovation cycles can be seen as an augmented projection of human cognitive process, where this taxonomy of data visualization can play an extended key role, an issue that constitutes the object for future research actions.

The author confirms being the sole contributor of this work and has approved it for publication. The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Read article at publisher’s site DOI : To arrive at the top five similar articles we use a word-weighted algorithm to compare words from the Title and Abstract of each citation. Cited by: 30 articles PMID: Newell S , Jordan Z. Cited by: 23 articles PMID: Phys Biol , 10 4 , 02 Aug Cited by: 16 articles PMID: Marai GE. Free to read. Cited by: 13 articles PMID: Cited by: 0 articles PMID: Contact us. Europe PMC requires Javascript to function effectively.

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Search articles by ‘Victor Cavaller’. Cavaller V 1. Affiliations 1 author 1. Share this article Share with email Share with twitter Share with linkedin Share with facebook. Abstract This article consists of a conceptual analysis-from the perspective of communication sciences-of the relevant aspects that should be considered during operational steps in data visualization. The analysis is performed taking as a reference the components that integrate the communication framework theory-the message, the form, the encoder, the context, the channel, and the decoder-which correspond to six elements in the context of data visualization: content, graphic representation, encoding setup, graphic design and approach, media, and user.

The unfolding of these dimensions is undertaken following a common pattern of six organizational layers of complexity-basic, extended, synthetic, dynamic, interactive, and integrative-according to the analytical criteria. Luke Evans unveils ripped abs after eight month intense workout transformation.

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DennisPhiny March 27, – am logic pro x About this book This book presents the proceedings of the IUPESM World Congress on Biomedical Engineering and Medical Physics, a tri-annual high-level policy meeting dedicated exclusively to furthering the role of biomedical engineering and medical physics in medicine.

The book offers papers about emerging issues related to the development and sustainability of the role and impact of medical physicists and biomedical engineers in medicine and healthcare. It provides a unique and important forum to secure a coordinated, multileveled global response to the need, demand, and importance of creating and supporting strong academic and clinical teams of biomedical engineers and medical physicists for the benefit of human health.

Back to top. Ibbott Back to top. Her research focuses on following areas: Knowledge-based systems, data and knowledge representation, application of artificial intelligence methods to medicine, digital signal processing, machine learning, feature extraction and feature selection, semantic interoperability, mobile technologies in healthcare, electronic health record.

She received her M. Her work and research is related to optimization of X-ray procedures, mainly interventional, and radiation protection of patients and staff. In addition, the DAS traces include experimental applications for parallel and distributed systems research.

In addition, the Grid traces include experimental applications for parallel and distributed systems research. In these logs, the information concerning the grid jobs is logged locally, then transferred to a central database voluntarily. The logging service can be considered fully operational only since mid We have obtained traces from the four dedicated computing clusters present in NGS.

The LCG production Grid currently has approximately active sites with around 30, CPUs and 3 petabytes storage, which is primarily used for high energy physics HEP data processing. There are also jobs from biomedical sciences running on this Grid. Almost all the jobs are independent computationally-intensive tasks, requiring one CPU to process a certain amount of data.

This Condor-based pool consists of over machines shared temporarily by their rightful owners [Tha05a]. The trace spans four months, from September to January The GWA-T-8 trace is extracted from the Grid3, which represents a multi-virtual organization environment that sustains production level services required by various physics experiments. The infrastructure was composed of more than 30 sites and CPUs; the participating sites were the main resource providers under various conditions [Fos04].

These traces capture the execution of workloads of physics working groups: a single job can run for up to a few days, and the workloads can be characterized as directed acyclic graphs DAGs [Mam05]. The traces collected from Grid3 include only HEP applications. In the analyzed traces, workloads are composed of applications targeting high-resolution rendering and remote visu- alization; ParaView, a multi-platform application for visualizing large data sets [06], is the commonly used application.

The busiest month may be different for each system. The toolbox provides the contributors and the expert users with information about the stored work- loads, and can be used as a source for building additional workload-related tools.

The workload analysis focuses on three aspects: system-wide characteristics e. Note the log scale for time-related characteristics. Figures 3. To ease the comparison, the bottom sub-graph depicts the hourly system utilization during the busiest month, for each environment. The system utilization is not stable over time: for all studied traces there are bursts of high utilization use between periods of low utilization. We believe that this corresponds to the real use of many grids for the following reasons.

Second, there are few parallel applications in the GWA traces relative to single-processor jobs. Jobs 1. Only the top 10 users are displayed.

The vertical axis shows the cumulated values, and the breakdown per week. For each system, users have the same identifiers labels in the left and right sub-graphs. Third, for the periods covered by the traces, there is a lack of deployed mechanisms for parallel jobs, e.

Co-allocation mechanisms were available only in the DAS, and, later, in Grid Even with the introduction of co-allocation based on advance reservation in several of the other grids i. Jobs production production LCG 2. Special events such as middleware change are marked with dotted lines. The production period is also emphasized.

The results depicted in Figures 3. However, some of the systems were not in production from the beginning to the end of the period for which the traces were collected. Moreover, the middleware used by a grid may have been changed e. We observe four main trends related to the rate of growth for the cumulative number of submitted jobs the input. Third, the period before entering production exhibits a low input i.

In this section, we discuss the use of the GWA in three broad scenarios: research in grid resource management, for grid maintenance and operation, and for grid design, procurement, and performance evaluation.

We have already used the archived content to understand how real grids operate today, to build realistic grid workload models, and as real input for a variety of resource management theory e. The study in [Ios06a] shows how several real grids operate today. The authors analyze four grid traces from the GWA, with a focus on virtual organizations, on users, and on individual jobs charac- teristics.

They further quantify the evolution and the performance of the Grid systems from which the traces originate. The imbalance of job arrivals in multi-cluster grids has been assessed using traces from the GWA in another study [Ios07c]. Hui Li et al. This gives evidence that realistic workload modeling is necessary to enable dependable grid scheduling studies. Finally, the traces have been used to show that grids can be treated as dynamic systems with quantifyable [Ios06d] or predictable behavior [Li04; Li07f].

These studies show evidence that grids are capable to become a predictable, high-throughput computation utility. The contents of the GWA has also been used to evaluate the performance of various scheduling policies, both in real [Ios06b] and simulated [Ios06d; Ios07c; Li07b] environments.

Finally, the tools in the GWA have been used to provide an analysis back-end to a grid simulation environment [Ios07c]. We detail below two such cases. A system administrator can compare the performance of a working grid system with that of similar systems by comparing performance data extracted from their traces. Additionally, the performance comparison over time e.

In large grids, realistic functionality checks must occur daily or even hourly, to prevent that jobs are assigned to failing resources. Our results using data from the GWA show that the performance of a grid system can rise when availability is taken into consideration, and that human administration of availability change information may result in times more job failures than for an automated solution, even for a lowly utilized system [Ios07e].

Similarly, functionality and stress testing are required for long-term maintenance. The grid designer needs to select from a multitude of middleware packages, e. Or 50 times, or times Using workloads from the GWA, and a workload submission tool such as GrenchMark, the designer can answer these questions for a variety of potential user workloads.

During the procurement phase, a prospective grid user may select between several infrastructure alternatives: to rent compute time on an on-demand platform, to rent or to build a parallel production environment e. Similarly to system design and procurement, performance evaluation can use content from the GWA in a variety of scenarios, e.

Parallel Production Environments: processing time consumed by users, and highest number of jobs running in the system during a day. Note that the same approach may be used during procurement to compare systems using trace-based grid benchmarking. We target courses that teach the use of grids, large-scale distributed computer systems simulation, and computer data analysis.

The reports included in the GWA may be used to better illustrate concepts related to grid resource management, such as resource utilization, job wait time and slowdown, etc.

The tools may be used to build new analysis and simulation tools. The data included in the archive may be used as input for demonstrative tools, or as material for student assignments. We assess the relative merits of the surveyed approaches according to the requirements described in Section 3. By the beginning of s, this shift in practice had become commonplace [Jai91; Cal93]. The Internet community has since cre- ated several other archives, i. These archives have gradually evolved towards covering most of the requirements expressed in Section 3.

Contrary to the Internet community, the computer systems communities are still far from ad- dressing Section 3. Since then, several other archives have started, e. For the cluster- based communities, the Parallel Workloads Archive PWA covers many of the requirements, and has become the de-facto standard for the parallel production environments community. Recently, the PWA has added several grid traces to its content.

The lack of grid workloads hampers the research on grid resource management, and the practice in grids design, management, and operation. To collect grid workloads and to make them available to this diverse community, we have designed and developed the Grid Workloads Archive. The design focuses on two broad requirements: building a grid workload data repository, and building a community center around the archived data. For the former, we provide tools for collecting, processing, and using the data.

For the latter, we provide mechanisms for sharing the data and other community-building support. We have collected so far traces from nine well-known grid environments. For the future, we plan to bring the community of resource management in large-scale distributed computing systems closer to the Grid Workloads Archive. In Chapter 2 we have introduced a basic model for multi-cluster grids, covering the resource types, the job types, the user types, and the job execution model.

However, two time-varying aspects of multi-clusters grid were not covered by the basic model: the resource availability, and the system workload. In a multi-cluster grid, all the resources of a cluster may be shared with the grid only for limited periods of time, e. Fur- thermore, grids experience the problems of any large-scale computing environment, and in addition are operated with relatively immature middleware, which increases further the resource unavailability rate.

Grid resources are dynamic in both number and performance. We identify two types of change: over the short term e. We call the former type of change grid dynamics, and the latter grid evolution. Disregarding grid dynamics during grid design may lead to a solution with low reliability. Disregarding the grid evolution may lead to a solution that does not match the systems of the future. While many studies cover the resource availability in computing systems that are related to multi-cluster grids i.

Thus, an important question arises: What are the characteristics of the resource un availability in multi-cluster grids? At one extreme, grid researchers have argued that grids will be the natural replacement of tightly coupled high-performance computing systems, and therefore will take over their highly parallel workloads [Ern02; Ern04; Ios06c; Ran08a].

At the other extreme stand arguments that grids are mostly useful for running conveniently parallel applications, that is, large bags of identical instances of the same single-node application [Tha05a]. The lack of information about the characteristics of grid workloads hampers the testing and the tuning of existing grids, and the study and evolution of new grid resource management solutions, e.

Without proper testing workloads, grids may fail when facing high loads or border cases of workload characteristics. Without detailed workload knowledge, tuning lacks focus and leads to under-performing solutions. Thus, an important question arises: What are the characteristics of grid workloads? The model design component presents the elements of the model. The data analysis component determines for each model element the statistical properties of the real data.

The modeling component leads to the selection of parameter values for the model elements. We conclude each answer with the description of a generative process that uses the model to generate synthetic data for simulation and testing purposes. In Section 4. Several other studies characterize or model the availability of environments such as super- and multi-computers [Tan93], clusters of computers [Ach97; Zha04; Fu07], meta-computers computers connected by a wide-area network, e.

Due the collection in the Grid Workloads Archive see Chapter 3 of workload traces from pro- duction grids, it is now possible to study the characteristics of grid workloads, and answer the second research question from the previous section.

The analysis tools of the Grid Workloads Archive have revealed that in contrast to the workloads of tightly coupled high-performance computing systems, a large part of the workloads submitted to grids consists of large numbers of single-processor tasks possibly inter-related as parts of bags-of-tasks.

Thus, the key idea of our attempt is to focus on bags-of-tasks, but to also model the parallel jobs that exist in grid workloads. For the case when the group size is one that is, the jobs arrive independently , we adapt to grids the Lublin-Feitelson workload model [Lub03], which is the de-facto standard workload model for parallel production environments Section 4. The seminal work in grid workload modeling by Hui Li has demonstrated that long-range depen- dence and self-similarity appear in grid workloads [Li07f].

We have also shown in our previous work that job arrivals are often bursty [Ios06a] see also Figure 3. While being the most common models employed in computer science, and in particular in queuing theory and its numerous applications [Kle75; Kle76], the Poisson models cannot model self-similar arrival processes [Lel94; Pax95; Err02]. The main advantage of our workload model over Poisson models is its potential ability to generate the self-similarity observed in grid environments i.

We start with an introduction to the modeling process followed in this chapter in Section 4. Then, in Sections 4. Finally, in Section 4. This section presents the method we follow to answer the research questions formulated in Section 4.

The goal of modeling is to create a representation of the real data that is as close as possible to the original. These values are later used in real-world experiments or in simulations. The use of a well-known distribution facilitates in addition mathematical analysis, thus enabling the comparison of real or simulated experiments with theoretical results.

An important quality of a model is its ease-of-use, that is, the complexity of the model should be such as to allow anybody to use and apply the model.

Second, the modeler must ensure that the values for the model parameters can be easily extracted 1 We include here the Markov-modulated Poisson processes that can model a self-similar process only when having an infinite number of states.

Although they can approach this goal by increasing the number of states, for tractability the number of states must remain in the range of two-four, which leads to the generation of non-self-similar traffic.

Definition 4. The quartiles are usually referred to as Qn , where Q1 is also called the lower quartile and is equal to the 25th percentile, and Q3 is also called the upper quartile and is equal to the 75th percentile. Let g X be P a real-valued function of the random variable X.

Note that the mean of a distribution may not exist, but the median always exists. The central moments of a random variable X are its moments with respect to its mean. P Definition 4. Thus, it is useful to model it such that the model reminds of the real process. Phase Type vs. Heavy-Tailed distributions Two classes of distributions occur often in the modeling of computer systems: the phase type distri- butions and the heavy-tailed distributions.

Phase type distributions characterize well a system of one or more inter-related Poisson processes occurring in sequence phases. Examples of such distribu- tions that are commonly used are the exponential, the Erlang, the hyper-exponential, and the Coxian distributions.

The commonly used heavy-tailed distributions are the Lognormal, the Power, the Pareto, the Zipf, and Weibull. Commonly used distributions In the following we present the common distributions used in computer science. Table 4. For detailed descriptions regarding each of these distributions, and on derriving the mathematical formulas presented here, we refer to the textbook of Evans et al. The exponential distribution is used to model many computer-related processes, from the event inter-arrival time in a Poisson process to the service time required by jobs [Kle76].

The main advantage in using this distribution is that a system with independent jobs with exponential service time that arrive with exponential inter-arrival time can be modeled as a basic Markov chain, and the main performance characteristics of the system can be easily extracted. The Erlang distribution is less variable than an exponential distribution with the same mean.

The hyper-exponential distribution is a compound distribution comprising n exponential distribu- tions, each with its own rate. This can be seen as a system with several queues, where request arrival in each queue follows an exponential distribution. The hyper-exponential distributions are more variable than an exponential distribution with the same mean. The Coxian distribution combines the properties of both Erlang and hyper-exponential distribu- tions into a distribution family that can exhibit both low and high variability.

The gamma distribution is a good approximation for the time required to observe exactly k the shape parameter arrivals of Poisson events. Gamma is a versatile distribution that can attain a wide variety of shapes and scales. Its variance can be much higher than for an exponential function of similar mean when the scale parameter is set accordingly. The normal distribution models well additive processes, that is, a system in which many statistically identical but independent users make requests.

The log-normal distribution models random variables with the logarithm normally distributed; it can be thought as the result of a multiplicative process over time, e. The log-normal distribution has higher variability than the normal distribution for the same mean. However, the power-law has also been wrongly attributed to any distribution with high right-skew and wide range of values; Newman [New05] argues that the log-normal distribution is often an alternative to empirical distributions believed to be Pareto.

The main advantage of a hyper-distribution is its mathematical tractability. The Hyper-Erlang distribution with two steps was used to model the request inter-arrival times in supercomputers [Jan97].

Other mixtures of distributions are possible, but their use is rare, as they raise the complexity of the mathematical analysis. This process involves three main steps: design, analysis, and modeling.

Second, the important model components are selected from the set of all components. The main focus in this sub-step is the ease-of-use of the model see Section 4. Third, the correlations between various characteristics are evaluated; the pair-wise correlations are the most commonly studied.

The existence of a provable strong correlation necessarily leads to extending the model with aspects that describe the correlation. Design a Design model components. Analysis a Determine the characteristics of the model components from real data. Modeling a Select candidate distributions based on analysis results. Figure 4. The null-hypothesis is rejected if D is greater than the critical value obtained from the KS-test table.

The KS-test is robust in outcome i. The KS-test can disprove the null-hypothesis, but cannot prove it. However, a lower value of D indicates better similarity between the input data and data sampled from the theoretical distributions. The range of values for R2 is [0,1]; a low value of R2 e. Similarly to the KS-test, R2 cannot demonstrate the correlation between the model and the data.

The use of R2 is limited in practice by its strong requirements: the number of model parameters needs to be small e. The average of this set are taken as the parameters of the average system. We assume that in the short-term there are no changes in the performance of individual resources. Thus, for the remainder of this section we use the terms resource dynamics and resource availability interchangeably.

Local Resources – – – – – – – – – c1 c2 c3 c4 c5 c6 c7 c8 c9 c10 c11 c12 c13 c14 c15 64 64 92 Figure 4. Throughout this section we use the following terminology. We also investigate the notion of groups of unavailabilities, which we call correlated failures.

Compared to traditional resource availability models [Tan93; Gra90; Zha04], ours adds the necessary link between the failures and the clusters where they occur. Observed No. Each cluster comprises a set of dual-processor nodes; we use in this section the terms node and resource interchangeably.

The number of processors per cluster is valid for 12 December, The traces record availability events with the following data: the node whose availability state changes i. Together, these traces comprise more than half a million individual availability events. We follow the steps of the modeling process described in Section 4. For the analysis part, we consider three levels of data aggregation: the grid, the cluster, and the node level.

The grid level aggregates un availability events for all the nodes in the grid. Similarly, the cluster level aggregates un availability events for all the nodes in the cluster. The two curves are indistinguishable: failures are always followed by repairs. Analysis Results Figure 4. For both graphs, the left parts depict data for , and the right parts depict data for Thus, the ability of the grid to run grid-wide parallel jobs with a runtime above 20 minutes is questionable.

As expected, this value is much higher than the MTBF at the grid level. However, some nodes fail only once or even never during this period.

Half of the nodes exhibit failure events or less. Conversely, a tenth of the nodes exhibit failure events or more, and less than one percent of the nodes exhibit more than failure events. Note that for the failure duration, values may include night hours during which administrators of sites of a grid are not available. Furthermore, some node failures may require, for instance, a processor or a memory slot to be replaced, which adds to the failure duration. In addition to the analysis of the basic statistics at the node level, we also look to establish whether there are time patterns in the occurrence of un availability events.

The daily values indicate that the availability state change events follow a similar pattern to that of the execution of jobs: a peak during work hours more events from 8am to 8pm and a weekly pattern fewer events occurring during weekends. We now analyze the correlated failures at the grid level, that is, when constructing the correlated failure we take into account all the failure events, regardless of their origin cluster where they occur.

The number of correlated failures with size higher than one is 7,, for a total of around 85, failure events. Our analysis shows that, on average, the size of a correlated failure is This latter value is little less than the size of the largest cluster, which consists of nodes. In addition, we have analyzed the number of sites involved in a correlated failure: its range is 1.

We conclude the analysis by summarizing the basic statistical properties illustrated during the analysis. The results for the failure inter-arrival time and for the failure size rows A and C, respectively , show that the ratio between the mean and the median is relatively homogeneous across clusters.

This indicates that a single distribution can be used across all clusters to model the real failure inter-arrival time data and the failure size data, respectively. Depending on the ratio between the mean and the median of the duration of failures, there are two main classes of clusters: class 1 with a ratio of about clusters c1 and c8 , and class 2 with a ratio of about the remaining clusters.

This may indicate the need for separate distributions for each of the classes, or for a distribution with more degrees of freedom, e. However, class 1 contains only clusters where few jobs have been submitted over the duration considered for this study. Failure inter-arrival time [s] Min. Failure duration [s] Min. Failure size [number of processors] Min. Modeling Results We now present the modeling results obtained for each of the four elements of our model for resource availability in multi-cluster grids: failure inter-arrival time, failure duration, failure size, and failure location.

The other distributions yield reasonably close results, with the Weibull distribution looking especially promising. The Weibull, log-normal and even normal distributions look promising. We use the Kolmogorov-Smirnov test for testing the null-hypothesis. Failure Duration with Fitted Distributions 1. Since the clusters are located separately, and the network between them has numerous redundant paths, we see no evidence to consider otherwise.

The model of the distribution of failures per site is constructed similarly to the model of the distribution of failures per cluster, taking into consideration which cluster belongs to which site.

By adding the values corresponding to all the clusters belong to the same site, we obtain the empirical distribution characterizing the fraction fs of failures occurring at site s, from the total number of 4 Note that these numbers depend on the date when clusters were made available to users. Using the Model We now present the use of our resource availability model to generate synthetic resource failure data for simulation and testing purposes.

For each new failure, the cluster where the failure occurs, the moment of the failure event, the failure duration, and the failure size, are generated using the distributions and the parameter values from Tables 4.

Additional horizontal separators group clusters belonging to the same site. See text for distributions fitting this data. Cluster No. Failures fc Site No. Failures fs C1 0.

The site where the failure occurs can be generated using the values of the parameter fs from Table 4. We now turn our attention to the long-term grid resource evolution.

Model Overview Grid evolution refers to the evolution of the physical resources i. The evolution of processor performance has been investigated by Kee et al.


Microsoft office 2019 professional plus project visio vl tr a ustos 2019 free.Can’t Install Visio or Project 2019 VL with Office 365 ProPlus installed


We are seeking some assistance with installing volume licensed Visio, Project alongside installs of Microsoft Apps, or the artist formally known as Office ProPlus.

Opinions online seem to vary on this topic. If you have volume licensed Visio, Project , you may need to develop them with Office Development Tool. For more information, please check official links:. Deployment guide for Project. Deployment guide for Visio. Use ODT will not remove installed Office if you configure the xml files rightly, you may also use Office Customization tool to create the.

Was this reply helpful? Yes No. Sorry this didn’t help. Way back when CTR was first propaganda’d in they crowed it would allow you to install 2 versions side by side, including outlook. And the techy guys did make that work. Then marketing stuck their big noses in and messed things up When Office was released MS got “cute”.

They decided to make the “Click to not run VM installer “selective”. Initially the CTR installer automatically unintalled all other versions. After some push back from users, stopped forcing the uninstall. But at the same time the dis “improvements” to the installer made it almost impossible to Viso and Project oops, but they never apologized. MS was incredibly clumsy about this.

After about a year they came out with partial fixes and some advice. I have no idea if this advice still applies to Good luck. Keep notes as you go, links to more current articles, let us know if you make it work, eventually. Starting on October 11, , Office software that uses Click-to-Run can be installed on the same computer with Office software that uses Click-to-Run. KMS activation is available. The following table covers the two general rules for which installation scenarios are supported and provides some examples.

Here is an article for your reference: Supported scenarios for installing different versions of Office, Visio, and Project on the same computer. Also, if there is a version of Visio Pro for Office or Project Pro for Office installed on the computer when you upgrade Office ProPlus to the Office version, those versions of Visio and Project are removed from the computer. You can continue to use the volume licensed version of Visio or Project on the computer with the Office version of Office ProPlus.

As you have the volume licensed editions of Visio , we need use the Office Deployment Tool to install it referring to this article. First to download the Office Deployment Tool on your computer and then use the Notepad to configure the configuration.

You can follow the Configuration options for the Office Deployment Tool to write the text and remember to save it. The picture is an example format. Then right click Windows and click Command Prompt Admin. And go to the folder that you have saved the configuration. Type the command setup. After we installed the Visio , we still need to use volume activation methods to activate the product. How do we get office on the latest version, and still work alongside Visio Professional VL?

This is madness. Thanks for the updates and I understand your feelings. Office apps in Microsoft subscription and volume licensed Office have different update channels. As you can see in the link: Volume licensed versions of Office update history Version Build For Office , Microsoft , and Office products, all products installed on the computer must be using the same update channel.

For more information: Link. You may try subscription version of Visio and Project instead, desktop apps contained in these plans should have same versions if you install them alongside with Office Here are some references:. Buy Visio Plan 2 – Microsoft Buy Microsoft Project Plan 3 – Microsoft There are no Project plan 2 or 4, just Project plan 1, project plan 3 and Project plan 5. As for details on comparing these plans, please check the link: Microsoft Project service description.

I already looked at that page. I already knew that there was no Plan 2 or 4. I explicitly asked if anyone knew had heard of a reason why there was not. It is not logical to skip “Plan 2” and 4 for one application but not for another.

Yes, I know ” it’s MS, they do whatever they feel like “, but it is confusing for users and I would like to be able explain it to them, better than saying ” just because Choose where you want to search below Search Search the Community. Hi Folks, We are seeking some assistance with installing volume licensed Visio, Project alongside installs of Microsoft Apps, or the artist formally known as Office ProPlus.

This thread is locked. You can follow the question or vote as helpful, but you cannot reply to this thread. I have the same question 6. Report abuse. Details required :. Cancel Submit. For more information, please check official links: Deployment guide for Project Deployment guide for Visio Use ODT will not remove installed Office if you configure the xml files rightly, you may also use Office Customization tool to create the.

Regards, Clark. Thanks for your feedback. How satisfied are you with this reply? Thanks for your feedback, it helps us improve the site.

Rohn MVP. Visio and Project versions that can be installed on the same computer with Office ProPlus. Office ProPlus reverted to version , Build Office now says it’s “Up to date” with updates. For more information: Link You may try subscription version of Visio and Project instead, desktop apps contained in these plans should have same versions if you install them alongside with Office Does Project Plan1 include desktop install or is it Web only?

What happened to Plans 2 and 4? Does plan 3 and 5 include Web app? Those propaganda pages are too vague. There is no place to complain about them. In reply to Rohn’s post on April 3, Hi Rohn, There are no Project plan 2 or 4, just Project plan 1, project plan 3 and Project plan 5. As for details on comparing these plans, please check the link: Microsoft Project service description Hope these can help.

No Clark that does not help. This site in other languages x.