A Flexible Multi-Dimensional QoS Performance Measure Framework for Distributed Heterogeneous Systems
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Authors
Jong-Kook, Kim
Hensgen, Debra A.
Kidd, Taylor
Siegel, Howard Jay
Levin, Tim
Porter, N. Wayne
Freund, Richard F.
St. John, David
Irvine, Cynthia E.
Prasanna, Viktor K.
Subjects
cluster computing
distributed computing
heterogeneous computing
performance metrics
resource
distributed computing
heterogeneous computing
performance metrics
resource
Advisors
Date of Issue
2006-07-01
Date
Publisher
Springer
Language
Abstract
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.
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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Article
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Citation
Cluster Computing, vol. 9, pp. 281-296, July 2006.
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This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.