DocumentCode :
2792157
Title :
A Probabilistic Approach to Measuring Robustness in Computing Systems
Author :
Eslamnour, Behdis ; Ali, Shoukat
Author_Institution :
Dept. of Electr. & Comput. Eng., Missouri Univ., Rolla, MO
fYear :
2007
fDate :
26-30 March 2007
Firstpage :
1
Lastpage :
8
Abstract :
System builders are becoming increasingly interested in robust design. We believe that a methodology for generating robustness metrics helps 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 robustness metric. We present our theoretical foundation for robustness metric and give its instantiation for a particular system.
Keywords :
parallel processing; probability; resource allocation; probabilistic approach; resource allocation; robust computing systems; robustness metric; Design engineering; Detectors; Educational institutions; Electric variables measurement; Fault tolerant systems; Quality of service; Resource management; Robustness; Scheduling algorithm; System software;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Processing Symposium, 2007. IPDPS 2007. IEEE International
Conference_Location :
Long Beach, CA
Print_ISBN :
1-4244-0910-1
Electronic_ISBN :
1-4244-0910-1
Type :
conf
DOI :
10.1109/IPDPS.2007.370580
Filename :
4228308
Link To Document :
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