Optimization of Resource Scheduling in Cloud Computing

Authors:
Qiang Li;Yike Guo
Affiliations:
-;-
Venue:
SYNASC '10 Proceedings of the 2010 12th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing
Year:
2010

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Abstract

Resource scheduling based on SLA (Service Level Agreement) in cloud computing is NP-hard problem. There is no efficient method to solve it. This paper proposes a new method to solve the problem by applying stochastic integer programming for optimal resource scheduling in cloud computing. Applying Gr\"{o}bner bases theory for solving the stochastic integer programming problem and the experimental results of the implementation are also presented.