Computer and Modernization ›› 2013, Vol. 1 ›› Issue (9): 42-45.doi: 10.3969/j.issn.1006-2475.2013.09.010

• 人工智能 • Previous Articles     Next Articles

Load Balancing of Cloud Environment Based on Optimized Ant Colony Algorithm

LIU Xiao-xi, LI Zhuo-yue   

  1. Information Center, State Grid of China Technology College, Jinan 250002, China
  • Received:2013-05-24 Revised:1900-01-01 Online:2013-09-17 Published:2013-09-17

Abstract: The perspective of this research is the load balancing of cloud computing resources. We put forward a program, which is an optimized ant colony algorithm for load balancing of cloud computing. The specific program introduces the pre-optimized sequencing strategy and elitist strategy into the load balancing of ant colony algorithm. We design a simulation for the algorithm, which tests and verifies the algorithm assumption, and the results of this experiment show the effectiveness of the algorithm.

Key words: OACA (optimized ant colony algorithm), cloud computing, load balancing, elitist strategy, pre-optimized sequencing strategy

CLC Number: