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Combinatorial Auction-Based Protocols for Resource Allocation in Grids
Denver, Colorado April 04-April 08
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IPDPS.2005.14019th IEEE International Parallel and ...
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Anubhav Das, Daniel Grosu, "Combinatorial Auction-Based Protocols for Resource Allocation in Grids," Parallel and Distributed Processing Symposium, International, vol. 14, pp. 251a, 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 13, 2005.
 
 
BibTex
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@article{ 10.1109/IPDPS.2005.140,
author = {Anubhav Das and Daniel Grosu},
title = {Combinatorial Auction-Based Protocols for Resource Allocation in Grids},
journal ={Parallel and Distributed Processing Symposium, International},
volume = {14},
year = {2005},
issn = {1530-2075},
pages = {251a},
doi = {http://doi.ieeecomputersociety.org/10.1109/IPDPS.2005.140},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Parallel and Distributed Processing Symposium, International
TI - Combinatorial Auction-Based Protocols for Resource Allocation in Grids
SN - 1530-2075
SP
EP
A1 - Anubhav Das,
A1 - Daniel Grosu,
PY - 2005
KW - null
VL - 14
JA - Parallel and Distributed Processing Symposium, International
ER -
 
Anubhav Das, Wayne State University, Detroit, MI
Daniel Grosu, Wayne State University, Detroit, MI
In this paper, we introduce the combinatorial auction model for resource management in grids. We propose a combinatorial auction-based resource allocation protocol in which a user bids a price value for each of the possible combinations of resources required for its tasks execution. The protocol involves an approximation algorithm for solving the combinatorial auction problem. We implement the new protocol in a simulated environment and study its economic efficiency and its effect on the system performance.
Citation:
Anubhav Das, Daniel Grosu, "Combinatorial Auction-Based Protocols for Resource Allocation in Grids," ipdps, vol. 14, pp.251a, 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 13, 2005
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