Optimization of Resource Scheduling in Cloud Computing

Qiang Li, Yike Guo

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 Gröbner bases theory for solving the stochastic integer programming problem and the experimental results of the implementation are also presented.