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.
S. Ali et al., "Definition of a Robustness Metric for Resource Allocation," Proceedings of the International Parallel and Distributed Processing Symposium, 2003, Institute of Electrical and Electronics Engineers (IEEE), Jan 2003.
The definitive version is available at https://doi.org/10.1109/IPDPS.2003.1213128
International Parallel and Distributed Processing Symposium, 2003
Electrical and Computer Engineering
Keywords and Phrases
Distributed Processing; Distributed Systems; Parallel Systems; Performance Evaluation; Perturbation Parameter Uncertainties; Resource Allocation; Robustness Metric; System Performance
International Standard Serial Number (ISSN)
Article - Conference proceedings
© 2003 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.