DocumentCode :
1660156
Title :
Definition of a robustness metric for resource allocation
Author :
Ali, Shoukat ; Maciejewski, Anthony A. ; Siegel, Howard Jay ; Kim, Jong-Kook
Author_Institution :
Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
fYear :
2003
Abstract :
Parallel and distributed systems may operate in an environment that undergoes unpredictable changes causing certain system performance features to degrade. Such systems need robustness to guarantee limited degradation despite fluctuations in the behavior of its component parts or environment. This research investigates the robustness of an allocation of resources to tasks in parallel and distributed systems. The main contributions of this paper are (1) a mathematical description of a metric for the robustness of a resource allocation with respect to desired system performance features against perturbations in system and environmental conditions, and (2) a procedure for deriving a robustness metric for an arbitrary system. For illustration, this procedure is employed to derive robustness metrics for two example distributed systems. Such a metric can help researchers evaluate a given resource allocation for robustness against uncertainties in specified perturbation parameters.
Keywords :
distributed processing; performance evaluation; resource allocation; distributed systems; parallel systems; perturbation parameter uncertainties; resource allocation; robustness metric; system performance; Computer science; Concurrent computing; Degradation; Distributed computing; Fluctuations; Parameter estimation; Resource management; Robustness; System performance; Throughput;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Processing Symposium, 2003. Proceedings. International
ISSN :
1530-2075
Print_ISBN :
0-7695-1926-1
Type :
conf
DOI :
10.1109/IPDPS.2003.1213128
Filename :
1213128
Link To Document :
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