TY - GEN
T1 - Definition of a robustness metric for resource allocation
AU - Ali, Shoukat
AU - Maciejewski, Anthony A.
AU - Siegel, Howard Jay
AU - Kim, Jong Kook
N1 - Publisher Copyright:
© 2003 IEEE.
PY - 2003
Y1 - 2003
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=12444338917&partnerID=8YFLogxK
U2 - 10.1109/IPDPS.2003.1213128
DO - 10.1109/IPDPS.2003.1213128
M3 - Conference contribution
AN - SCOPUS:12444338917
T3 - Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2003
BT - Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2003
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - International Parallel and Distributed Processing Symposium, IPDPS 2003
Y2 - 22 April 2003 through 26 April 2003
ER -