Measuring Robustness of Computing Systems
Abstract
System builders are becoming increasingly interested in robust design. We believe that a methodology for generating robustness metrics will help the robust design research efforts and, in general, is an important step in the efforts to create robust computing systems. the purpose of the research in this paper is to quantify the robustness of a resource allocation, with the eventual objective of setting a standard that could easily be instantiated for a particular computing system to generate a robustness metric. the paper exposes how not considering the uncertainties can result in gross overestimation of the system capacity, and shows a method for reducing the impact of uncertainty, and even use it to our advantage if the uncertainties are correlated. We present our theoretical foundation for a robustness metric and give its instantiation for a particular system. © 2009 Elsevier B.V. All rights reserved.
Recommended Citation
B. Eslamnour and S. Ali, "Measuring Robustness of Computing Systems," Simulation Modelling Practice and Theory, vol. 17, no. 9, pp. 1457 - 1467, Elsevier, Oct 2009.
The definitive version is available at https://doi.org/10.1016/j.simpat.2009.06.004
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Mahalanobis distance; Parallel and distributed systems; Resource allocation; Resource management systems; Robustness; Robustness metric
International Standard Serial Number (ISSN)
1569-190X
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Elsevier, All rights reserved.
Publication Date
01 Oct 2009
