The Experts below are selected from a list of 8610 Experts worldwide ranked by ideXlab platform
Jorn Altmann - One of the best experts on this subject based on the ideXlab platform.
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dynamic scenarios of trust establishment in the Public Cloud Service market
International Conference on Cloud Computing, 2012Co-Authors: Soyoung Kim, Junseok Hwang, Jorn AltmannAbstract:The adoption of the Public Cloud by firms and individuals has been slowed because of the lack of trust. This research seeks the rules of trust establishment between the Public Cloud providers and users through signaling game theory, analyses dynamic scenarios in which the pervasive distrust arises, and suggests policy guidelines. The theoretical analysis results suggest that the most critical task is to make a pool of trustworthy Public Cloud Service providers to establish an efficient market. The results also show that prudent policy design is desirable. Specific case studies and simulations will be conducted as further studies. Keywords-Public Cloud computing; trust; signaling; equilibrium; dynamic. I. INTRODUCTION The Public Cloud has been a valuable tool for firms and individual users to reduce their Information Technology costs. A number of Public Cloud Services such as Amazon's AWS or HP's Cloud Service have been launched. Even telecom vendors, contents providers, web portals and small Information Technology solution vendors are participating in the race between Public Cloud Services. A few companies have been started to compete on price as competition has intensified (1). However, the users may not select a Cloud Service only by its price and performance. The criteria for selecting a Cloud Service are not only these two factors. Trustworthiness and reliability are also important criteria for selecting a Cloud Service. Therefore, the establishment of trust is one of the major challenges for the growth of the Public Cloud market (2). The users' concerns about security and privacy threats hinder the diffusion of the Public Cloud (3). The Public Cloud market now needs policy solutions to address the users' concerns rather than technological solutions (4). This study analyses, with game theoretical insights, the process of trust establishment and distrust pervasiveness when users select a Public Cloud Service. In particular, the signaling game is adopted to find several types of the equilibrium and to analyze several dynamic paths from equilibrium. Policy guidelines are also discussed with the dynamic scenarios. The remainder of the paper is organized as follows. The next section reviews the related literature. Section III proposes the trust signaling game in the Public Cloud market. Section IV investigates the dynamic scenario of trust establishment. Section V suggests preliminary results and discussion. Finally, Section VI provides a conclusion and a future work.
Laufer Konstantin - One of the best experts on this subject based on the ideXlab platform.
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Metrics Pipeline (Codename): An Analytics and Visualization Pipeline for Software Quality Metrics
Loyola eCommons, 2021Co-Authors: Synovic Nicholas, Amobi Emmanuel, Greve Erik, Von Hatten Sophie, Pinderski Austin, Rodriguez Stephanie, Zugschwert Martin, Davis, Jamie C, Hayward Nicholas, Laufer KonstantinAbstract:The Metrics Pipeline (Codename) focuses on metrics indicative of team progress and project health instead of privileging individual metrics, e.g. number of commits, etc. The Metrics Dashboard allows the user to submit the URL of a hosted repository for batch analysis, whose results are then cached. Upon completion, the user can interactively study various metrics over time (at varying granularity), numerically, and visually. The initial version of the system is up and running as a Public Cloud Service (SaaS) and supports project size (KLOC), defect density, defect spoilage, and productivity. While our system is by no means the first to support software metrics, we believe it may be one of the first community-focused extensible resources that can be used by any hosted project
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Metrics Dashboard: A Hosted Platform for Software Quality Metrics
Loyola eCommons, 2018Co-Authors: Thiruvathukal, George K., Hayward, Nicholas J, Laufer KonstantinAbstract:There is an emerging consensus in the scientific software community that progress in scientific research is dependent on the quality and accessibility of software at all levels (wssspe.researchcomputing.org.uk/). This progress depends on embracing the best traditional---and emergent---practices in software engineering, especially agile practices that intersect with the more formal tradition of software engineering. As a first step in our larger exploratory project to study in-process quality metrics for software development projects in Computational Science and Engineering (CSE), we have developed the Metrics Dashboard, a platform for producing and observing metrics by mining open-source software repositories on GitHub. Unlike GitHub and similar systems that provide individual performance metrics (e.g. commits), the Metrics Dashboard focuses on metrics indicative of team progress and project health. The Metrics Dashboard allows the user to submit the URL of a hosted repository for batch analysis, whose results are then cached. Upon completion, the user can interactively study various metrics over time (at varying granularity), numerically and visually. The initial version of the system is up and running as a Public Cloud Service (SaaS) and supports project size (KLOC), defect density, defect spoilage, and productivity. While our system is by no means the first to support software metrics, we believe it may be one of the first community-focused extensible resources that can be used by any hosted project
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Metrics Dashboard: A Hosted Platform for Software Quality Metrics
2018Co-Authors: Thiruvathukal, George K., Hayward, Nicholas J, Laufer KonstantinAbstract:There is an emerging consensus in the scientific software community that progress in scientific research is dependent on the "quality and accessibility of software at all levels" (wssspe.researchcomputing.org.uk/). This progress depends on embracing the best traditional---and emergent---practices in software engineering, especially agile practices that intersect with the more formal tradition of software engineering. As a first step in our larger exploratory project to study in-process quality metrics for software development projects in Computational Science and Engineering (CSE), we have developed the Metrics Dashboard, a platform for producing and observing metrics by mining open-source software repositories on GitHub. Unlike GitHub and similar systems that provide individual performance metrics (e.g. commits), the Metrics Dashboard focuses on metrics indicative of team progress and project health. The Metrics Dashboard allows the user to submit the URL of a hosted repository for batch analysis, whose results are then cached. Upon completion, the user can interactively study various metrics over time (at varying granularity), numerically and visually. The initial version of the system is up and running as a Public Cloud Service (SaaS) and supports project size (KLOC), defect density, defect spoilage, and productivity. While our system is by no means the first to support software metrics, we believe it may be one of the first community-focused extensible resources that can be used by any hosted project.Comment: 9 page
Sanjay Rao - One of the best experts on this subject based on the ideXlab platform.
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Cost-aware Multi Data-Center Bulk Transfers in the Cloud from a Customer-Side Perspective
IEEE Transactions on Cloud Computing, 2019Co-Authors: José Luis García-dorado, Sanjay RaoAbstract:Many Cloud applications (e.g., data backup and replication, video distribution) require dissemination of large volumes of data from a source data-center to multiple geographically distributed data-centers. Given the high costs of wide-area bandwidth, the overall cost of inter-data-center communication is a major concern in such scenarios. While previous works have focused on optimizing the costs of bulk transfer, most of them use the charging models of Internet Service providers, typically based on the 95th percentile of bandwidth consumption. However, Public Cloud Service Providers (CSP) follow very different models to charge their customers. First, the cost for transmission is flat and depends on the location of the source and receiver data-centers. Second, CSPs offer discounts once customer transfers exceed certain volume thresholds per data-center. We present a systematic framework, CloudMPcast, that exploits these two aspects of Cloud pricing schemes. CloudMPcast constructs overlay distribution trees for bulk-data transfer that both optimizes dollar costs of distribution, and ensures end-to-end data transfer times are not affected. CloudMPCast monitors TCP throughputs between data-centers and only proposes alternative trees that respect original transfer times. After an extensive measurement study, the cost savings range from 10 to 60 percent for both Azure and EC2 infrastructures, which potentially translates to millions of dollars a year assuming realistic demands.
Soyoung Kim - One of the best experts on this subject based on the ideXlab platform.
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dynamic scenarios of trust establishment in the Public Cloud Service market
International Conference on Cloud Computing, 2012Co-Authors: Soyoung Kim, Junseok Hwang, Jorn AltmannAbstract:The adoption of the Public Cloud by firms and individuals has been slowed because of the lack of trust. This research seeks the rules of trust establishment between the Public Cloud providers and users through signaling game theory, analyses dynamic scenarios in which the pervasive distrust arises, and suggests policy guidelines. The theoretical analysis results suggest that the most critical task is to make a pool of trustworthy Public Cloud Service providers to establish an efficient market. The results also show that prudent policy design is desirable. Specific case studies and simulations will be conducted as further studies. Keywords-Public Cloud computing; trust; signaling; equilibrium; dynamic. I. INTRODUCTION The Public Cloud has been a valuable tool for firms and individual users to reduce their Information Technology costs. A number of Public Cloud Services such as Amazon's AWS or HP's Cloud Service have been launched. Even telecom vendors, contents providers, web portals and small Information Technology solution vendors are participating in the race between Public Cloud Services. A few companies have been started to compete on price as competition has intensified (1). However, the users may not select a Cloud Service only by its price and performance. The criteria for selecting a Cloud Service are not only these two factors. Trustworthiness and reliability are also important criteria for selecting a Cloud Service. Therefore, the establishment of trust is one of the major challenges for the growth of the Public Cloud market (2). The users' concerns about security and privacy threats hinder the diffusion of the Public Cloud (3). The Public Cloud market now needs policy solutions to address the users' concerns rather than technological solutions (4). This study analyses, with game theoretical insights, the process of trust establishment and distrust pervasiveness when users select a Public Cloud Service. In particular, the signaling game is adopted to find several types of the equilibrium and to analyze several dynamic paths from equilibrium. Policy guidelines are also discussed with the dynamic scenarios. The remainder of the paper is organized as follows. The next section reviews the related literature. Section III proposes the trust signaling game in the Public Cloud market. Section IV investigates the dynamic scenario of trust establishment. Section V suggests preliminary results and discussion. Finally, Section VI provides a conclusion and a future work.
Junseok Hwang - One of the best experts on this subject based on the ideXlab platform.
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Dynamic Scenarios of Trust Establishment in the Public Cloud Service Market
2012Co-Authors: Junseok HwangAbstract:The adoption of the Public Cloud by firms and individuals has been slowed because of the lack of trust. This research seeks the rules of trust establishment between the Public Cloud providers and users through signaling game theory, analyses dynamic scenarios in which the pervasive distrust arises, and suggests policy guidelines. The theoretical analysis results suggest that the most critical task is to make a pool of trustworthy Public Cloud Service providers to establish an efficient market. The results also show that prudent policy design is desirable. Specific case studies and simulations will be conducted as further studies.
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dynamic scenarios of trust establishment in the Public Cloud Service market
International Conference on Cloud Computing, 2012Co-Authors: Soyoung Kim, Junseok Hwang, Jorn AltmannAbstract:The adoption of the Public Cloud by firms and individuals has been slowed because of the lack of trust. This research seeks the rules of trust establishment between the Public Cloud providers and users through signaling game theory, analyses dynamic scenarios in which the pervasive distrust arises, and suggests policy guidelines. The theoretical analysis results suggest that the most critical task is to make a pool of trustworthy Public Cloud Service providers to establish an efficient market. The results also show that prudent policy design is desirable. Specific case studies and simulations will be conducted as further studies. Keywords-Public Cloud computing; trust; signaling; equilibrium; dynamic. I. INTRODUCTION The Public Cloud has been a valuable tool for firms and individual users to reduce their Information Technology costs. A number of Public Cloud Services such as Amazon's AWS or HP's Cloud Service have been launched. Even telecom vendors, contents providers, web portals and small Information Technology solution vendors are participating in the race between Public Cloud Services. A few companies have been started to compete on price as competition has intensified (1). However, the users may not select a Cloud Service only by its price and performance. The criteria for selecting a Cloud Service are not only these two factors. Trustworthiness and reliability are also important criteria for selecting a Cloud Service. Therefore, the establishment of trust is one of the major challenges for the growth of the Public Cloud market (2). The users' concerns about security and privacy threats hinder the diffusion of the Public Cloud (3). The Public Cloud market now needs policy solutions to address the users' concerns rather than technological solutions (4). This study analyses, with game theoretical insights, the process of trust establishment and distrust pervasiveness when users select a Public Cloud Service. In particular, the signaling game is adopted to find several types of the equilibrium and to analyze several dynamic paths from equilibrium. Policy guidelines are also discussed with the dynamic scenarios. The remainder of the paper is organized as follows. The next section reviews the related literature. Section III proposes the trust signaling game in the Public Cloud market. Section IV investigates the dynamic scenario of trust establishment. Section V suggests preliminary results and discussion. Finally, Section VI provides a conclusion and a future work.
