DocumentCode
2791261
Title
Models and Heuristics for Robust Resource Allocation in Parallel and Distributed Computing Systems
Author
Janovy, David L. ; Smith, Jay ; Siegel, Howard Jay ; Maciejewski, Anthony A.
Author_Institution
Dept. of Electr. & Comput. Eng., Colorado State Univ., Fort Collins, CO
fYear
2007
fDate
26-30 March 2007
Firstpage
1
Lastpage
5
Abstract
This is an overview of the robust resource allocation research efforts that have been and continue to be conducted by the CSU robustness in computer systems group. Parallel and distributed computing systems, consisting of a (usually heterogeneous) set of machines and networks, frequently operate in environments where delivered performance degrades due to unpredictable circumstances. Such unpredictability can be the result of sudden machine failures, increases in system load, or errors caused by inaccurate initial estimation. The research into developing models and heuristics for parallel and distributed computing systems that create robust resource allocations is presented.
Keywords
parallel processing; resource allocation; computer systems group; distributed computing systems; parallel computing; robust resource allocation; Actuators; Computer science; Concurrent computing; Degradation; Distributed computing; Resource management; Road transportation; Robustness; Stochastic processes; Uncertainty;
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.2007.370517
Filename
4228245
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