A flexible multi-dimensional QoS performance measure framework for distributed heterogeneous systems

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 ...

• Type: Journal
• Year: 2006
• Where: CLUSTER
• Authors: Jong-Kook Kim, Debra A. Hensgen, Taylor Kidd, Howard Jay Siegel, David St. John, Cynthia E. Irvine, Timothy E. Levin, N. Wayne Porter, Viktor K. Prasanna, Richard F. Freund
• Keywords: CLUSTER 2006, Collective Value, Distributed And Parallel Computing, Distributed Heterogeneous Computing, Resource