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Abowd, Gregory D.

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Publication Search Results

Now showing 1 - 3 of 3
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    Collaborative research with Masayasu Futakawa at Hitachi
    (Georgia Institute of Technology, 1999) Abowd, Gregory D.
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    A Scalable Workload Model of Media-Enhanced Classrooms
    (Georgia Institute of Technology, 1999) Chervenak, Ann L. ; Vellanki, Vivekanand ; Yanasak, Ivan ; Harel, Nissim ; Rodenstein, Roy ; Abowd, Gregory D. ; Brotherton, Jason Alan ; Ramachandran, Umakishore
    We present a scalable workload model for media-enhanced classrooms. Such classrooms include equipment for presenting multimedia streams and for capturing streams of information (audio, video and notes) during a lecture. Our model characterizes the workload of a centralized or distributed server that supports multiple classrooms. The workload includes server bandwidth, network bandwidth and server storage requirements. Using our workload model, we present detailed performance measurements of one media-enhanced classroom system, Classroom 2000. We identify patterns in user behavior, and demonstrate that the number of simultaneous study sessions varies with time of day according to a beta distribution. In addition, we model the total number of study sessions on a particular day using a simple linear model that depends on proximity to midterm and final examinations. Finally, we use the model to predict how the capabilities of a Classroom 2000 server must scale to support hundreds of classrooms and thousands of students.
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    Scenario-Based Analysis of Software Architecture
    (Georgia Institute of Technology, 1995) Kazman, Rick ; Abowd, Gregory D. ; Bass, Leonard J. ; Clements, Paul
    Software architecture is one of the most important tools for designing and understanding a system, whether that system is in preliminary design, active deployment, or maintenance. Scenarios are important tools for exercising an architecture in order to gain information about a system's fitness with respect to a set of desired quality attributes. This paper presents a set of experiential case studies illustrating the methodological use of scenarios to gain architecture-level understanding and predictive insight into large, real-world systems in various domains. A structured method for scenario-based architectural analysis is presented, using scenarios to analyze architectures with respect to achieving quality attributes. Finally, lessons and morals are presented, drawn from the growing body of experience in applying scenario-based architectural analysis techniques.