DocumentCode :
2236831
Title :
Robust Resource Allocation for Large-scale Distributed Shared Resource Environments
Author :
Kee, Y.-S. ; Yocum, K. ; Chien, A.A.
Author_Institution :
California Univ., San Diego, La Jolla, CA
fYear :
0
fDate :
0-0 0
Firstpage :
341
Lastpage :
342
Abstract :
This paper presents a new formulation of the resource selection and binding problem and proposes a new algorithm called integrated selection and binding to solve this problem. Our insight is that a resource selection algorithm should consider binding failures. Consequently, the key idea of the integrated selection and binding approach is to decompose a resource collection request into components that can be bound and composed independently and to select multiple sets of resources for each component. The integrated approach is more efficient and effective than the separate approach for competitive access to federated resources
Keywords :
distributed processing; resource allocation; distributed shared resource environment; federated resources; integrated selection and binding algorithm; resource allocation; resource collection request; resource selection algorithm; Aggregates; Authentication; Bandwidth; Computer architecture; Computer science; Delay; Large-scale systems; Resource management; Robustness; Specification languages;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
High Performance Distributed Computing, 2006 15th IEEE International Symposium on
Conference_Location :
Paris
ISSN :
1082-8907
Print_ISBN :
1-4244-0307-3
Type :
conf
DOI :
10.1109/HPDC.2006.1652174
Filename :
1652174
Link To Document :
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