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Incentive-Based Scheduling for Market-Like Computational Grids
July 2008 (vol. 19 no. 7)
pp. 903-913
ASCII Text
x 
 
Lijuan Xiao, Yanmin Zhu, Lionel M. Ni, Zhiwei Xu, "Incentive-Based Scheduling for Market-Like Computational Grids," IEEE Transactions on Parallel and Distributed Systems, vol. 19, no. 7, pp. 903-913, July, 2008.
 
 
BibTex
x
 
@article{ 10.1109/TPDS.2007.70791,
author = {Lijuan Xiao and Yanmin Zhu and Lionel M. Ni and Zhiwei Xu},
title = {Incentive-Based Scheduling for Market-Like Computational Grids},
journal ={IEEE Transactions on Parallel and Distributed Systems},
volume = {19},
number = {7},
issn = {1045-9219},
year = {2008},
pages = {903-913},
doi = {http://doi.ieeecomputersociety.org/10.1109/TPDS.2007.70791},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Parallel and Distributed Systems
TI - Incentive-Based Scheduling for Market-Like Computational Grids
IS - 7
SN - 1045-9219
SP903
EP913
EPD - 903-913
A1 - Lijuan Xiao,
A1 - Yanmin Zhu,
A1 - Lionel M. Ni,
A1 - Zhiwei Xu,
PY - 2008
KW - Grid Computing
KW - scheduling
KW - incentive
KW - peer-to-peer
KW - market
VL - 19
JA - IEEE Transactions on Parallel and Distributed Systems
ER -
 
A sustainable, market-like computational grid has two characteristics: it must allow resource providers and resource consumers to make autonomous scheduling decisions; and both parties of providers and consumers must have sufficient incentives to stay and play in the market. In this paper, we formulate this intuition of optimizing incentives for both parties as a dual-objective scheduling problem. The two objectives identified are to maximize the success rate of job execution, and to minimize fairness deviation among resources. The challenge is to develop a grid scheduling scheme that enables individual participants to make autonomous decisions while produces a desirable emergent property in the grid system, namely, the two objectives are achieved simultaneously. We present an incentive-based scheduling scheme which utilizes a peer-to-peer decentralized scheduling framework, a set of local heuristic algorithms, and three market instruments of job announcement, price, competition degree. The performance of this scheme is evaluated via extensive simulation using synthetic and real workloads. The results show that our approach outperforms other scheduling schemes in optimizing incentives for both consumers and providers, leading to highly successful job execution and fair profit allocation.

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Index Terms:
Grid Computing, scheduling, incentive, peer-to-peer, market
Citation:
Lijuan Xiao, Yanmin Zhu, Lionel M. Ni, Zhiwei Xu, "Incentive-Based Scheduling for Market-Like Computational Grids," IEEE Transactions on Parallel and Distributed Systems, vol. 19, no. 7, pp. 903-913, July 2008, doi:10.1109/TPDS.2007.70791
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