A Flexible Multi-Dimensional QoS Performance Measure Framework for Distributed Heterogeneous Systems
Hensgen, Debra A.
Siegel, Howard Jay
Porter, N. Wayne
Freund, Richard F.
St. John, David
Irvine, Cynthia E.
Prasanna, Viktor K.
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When users' tasks in a distributed heterogeneous computing environment (e.g.cluster of heterogeneous computers) are allocated resources, the total demand placed on some system resources by the tasks, for a given interval of time, may exceed the availability of those resources. In such a case, some tasks may receive degraded service or be dropped from the system. One part of a measure to quantify the success of a resource management system (RMS) in such a distributed environment is the collective value of the tasks completed during an interval of time, as perceived by the user, application, or policy maker. The Flexible Integrated System Capability (FISC) measure presented here is a measure for quantifying this collective value. The FISC measure is a flexible multidimensional measure, and may include priorities, versions of a task or data, deadlines, situational mode, security, application- and domain-specific QoS, and task dependencies. For an environment where it is important to investigate how well data communication requests are satisfied, the data communication request satisfied can be the basis of the FISC measure instead of tasks completed.
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Kim, Jong-Kook; Kidd, Taylor; Siegel, Howard Jay; Irvine, Cynthia E.; Levin, Tim; Hensgen, Debra A.; St. John, David.; Prasanna, Viktor K.; Freund, Richard F; Porter, N. Wayne (IEEE, 2001-04-01);When users' tasks in a distributed heterogeneous computing environment are allocated resources, and the total demand placed on system resources by the tasks, for a given interval of time, exceeds the resources available, ...
Kim, Jong-Kook; Hensgen, Debra A.; Kidd, Taylor; Siegel, Howard Jay; St. John, David; Irvine, Cynthia E.; Levin, Tim; Porter, N.Wayne; Prasanna, Viktor; Freund, Richard F. (Euromicro Workshop on Parallel and Distributed Processing, 1999-05-00);In a distributed heterogeneous computing environment, users' tasks are allocated resources to simultaneously satisfy, to varying degrees, the tasks' different, and possibly conflicting, quality of service (QoS) requirements. ...
Stone, Steven Walter (Monterey, California. Naval Postgraduate School, 1996-06);The current Distributed Interactive Simulations (DIS) Protocol has a limited ability to support real time, simulated engagements of more than 1000 entities because of its excessive use of network resources. It also lacks ...