Masters Theses
Keywords and Phrases
Robustness metric; Mahalanobis distance
Abstract
"The robust design of computing and communication systems is becoming an increasingly important issue. Parallel and distributed heterogeneous computing systems may operate in dynamic environments that undergo unpredictable changes causing certain system performance features to degrade. Such systems need robustness to guarantee limited degradation despite fluctuations in behavior of its component parts or environment. There is a need for research that addresses the issue of developing a generalized robustness metric.
This thesis describes a probabilistic approach to measuring robustness such that variance and correlation are considered in the robustness measure. In addition, this research presents a methodology where perturbations of different kinds, e.g., in both message sizes and computation times, could be incorporated in the robustness metric. This will be an important step towards ongoing efforts to create robust designs"--Abstract, page iii.
Advisor(s)
Ali, Shoukat
Committee Member(s)
Sarangapani, Jagannathan, 1965-
Stanley, R. Joe
Department(s)
Electrical and Computer Engineering
Degree Name
M.S. in Computer Engineering
Publisher
University of Missouri--Rolla
Publication Date
Fall 2005
Pagination
viii, 44 pages
Note about bibliography
Includes bibliographical references (pages 41-43).
Rights
© 2005 Behdis Eslamnour, All rights reserved.
Document Type
Thesis - Restricted Access
File Type
text
Language
English
Subject Headings
Computer systems -- ReliabilityElectronic data processing -- Distributed processingParallel processing (Electronic computers)
Thesis Number
T 8884
Print OCLC #
70826218
Recommended Citation
Eslamnour, Behdis, "A probabilistic approach to measuring robustness in distributed computing systems" (2005). Masters Theses. 5822.
https://scholarsmine.mst.edu/masters_theses/5822
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Comments
This research was supported by the University of Missouri Research Board under Grant No. RAM59, and by the University of Missouri-Rolla under Grant No. R5003200.