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Published Articles >> Table of Contents >> Abstract
2007 International Conference on Parallel Processing Workshops (ICPPW 2007)
p. 9
A Quality-Driven Algorithm for Resource Scheduling Based on Market Model on Grid
Lei Tang, Northwestern Polytechnical University, China
Zhiyi Yang, Northwestern Polytechnical University, China
Zhiwen Yu, Nagoya University, Japan
Yunlan Wang, Northwestern Polytechnical University, China
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPPW.2007.14
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| Abstract |
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Several challenges about computational grid exist in
integrating, coordinating and managing of resources
and scheduling of applications, due to distributed
resources at various levels. In this paper, we employ
computational economy as a way to manage and
allocate these distributed resources. It can help to
rapidly and dynamically select resources meeting
users’ functional requirements and satisfying their
Quality of Service (QoS), from a large number of
resources. An economic scheduling system based on
market model is presented. On the basis of studying
QoS criteria of resource services, we formulate
selection as Multiple Attribute Decision Making
(MADM) problem. Then, we introduce MQoS model to
evaluate resource services for selection, which consists
of the MQoS vector, a decision matrix and a qualitydriven
scheduling algorithm. The algorithm is classified
as lexicographic and Euclidean Distance algorithm
with respect to user’s preference and object impact. It
optimizes system performance through adjusting
resource selection automatically according to previous
job execution and the current system state information
such as load. The results of scheduling experiments
showed the superiority of quality-driven algorithm in
scheduling on global grids.
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 Additional Information
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Citation:
Lei Tang, Zhiyi Yang, Zhiwen Yu, Yunlan Wang,
"A Quality-Driven Algorithm for Resource Scheduling Based on Market Model on Grid,"
icppw,
p. 9,
2007 International Conference on Parallel Processing Workshops (ICPPW 2007),
2007
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