Journal of East China Normal University(Natural Sc ›› 2010, Vol. 2010 ›› Issue (1): 127-134.

• Article • Previous Articles     Next Articles

Ant colony optimization algorithm for computing resource allocation based on cloud computing environment (Chinese)

HUA Xia-yu,ZHENG Jun,HU Wen-xin   

  1. Computer Center, East China Normal University, Shanghai200241, China
  • Received:2009-06-17 Revised:2009-07-23 Online:2010-01-25 Published:2010-01-25
  • Contact: ZHENG Jun

Abstract: A new allocation algorithm based on Ant Colony Optimization (ACO) was established to satisfy the property of cloud computing. When start, this algorithm first prognosticated the capability of the potential available resource nodes, then analyzed some factors such as network qualities or response times to acquire a set of optimal compute resources. This algorithm met the needs of cloud computing more than others for grid environment with shorter response time and better performance, which were proved by the simulation results in the Gridsim environment.

Key words: grid, ant colony optimization, resource allocation, cloud computing, grid, ant colony optimization, resource allocation

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