Kim, Jong-Kook, authorSiegel, Howard Jay, authorMaciejewski, Anthony A., authorAli, Shoukat, authorIEEE, publisher2007-01-032007-01-032004Ali, Shoukat, et al., Measuring the Robustness of a Resource Allocation, IEEE Transactions on Parallel and Distributed Systems 15, no. 7 (July 2004): 630-641.http://hdl.handle.net/10217/622Parallel 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 multiple perturbations in multiple 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 three example distributed systems. Such a metric can help researchers evaluate a given resource allocation for robustness against uncertainties in specified perturbation parameters.born digitalarticleseng©2004, IEEE.Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.resource allocationrobustness metricrobustnessresource management systemsparallel and distributed systemsText