Robust Resource Allocation for Large-scale Distributed Shared Resource Environments

Paris June 19-June 23

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http://doi.ieeecomputersociety.org/10.1109/HPDC.2006.1652174

2006 15th IEEE International Conferen ...

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	Y.-S. Kee, K. Yocum, A.A. Chien, "Robust Resource Allocation for Large-scale Distributed Shared Resource Environments," High-Performance Distributed Computing, International Symposium on, pp. 341-342, 2006 15th IEEE International Conference on High Performance Distributed Computing, 2006.

	BibTex	x
	@article{ 10.1109/HPDC.2006.1652174, author = {Y.-S. Kee and K. Yocum and A.A. Chien}, title = {Robust Resource Allocation for Large-scale Distributed Shared Resource Environments}, journal ={High-Performance Distributed Computing, International Symposium on}, volume = {0}, year = {2006}, isbn = {1-4244-0307-3}, pages = {341-342}, doi = {http://doi.ieeecomputersociety.org/10.1109/HPDC.2006.1652174}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - High-Performance Distributed Computing, International Symposium on TI - Robust Resource Allocation for Large-scale Distributed Shared Resource Environments SN - 1-4244-0307-3 SP341 EP342 A1 - Y.-S. Kee, A1 - K. Yocum, A1 - A.A. Chien, PY - 2006 KW - federated resources KW - resource allocation KW - distributed shared resource environment KW - integrated selection and binding algorithm KW - resource selection algorithm KW - resource collection request VL - 0 JA - High-Performance Distributed Computing, International Symposium on ER -

Y.-S. Kee, California Univ., San Diego, La Jolla, CA

K. Yocum, California Univ., San Diego, La Jolla, CA

A.A. Chien, California Univ., San Diego, La Jolla, CA

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

Index Terms:

federated resources, resource allocation, distributed shared resource environment, integrated selection and binding algorithm, resource selection algorithm, resource collection request

Citation:

Y.-S. Kee, K. Yocum, A.A. Chien, "Robust Resource Allocation for Large-scale Distributed Shared Resource Environments," hpdc, pp.341-342, 2006 15th IEEE International Conference on High Performance Distributed Computing, 2006

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