Computer Science ›› 2010, Vol. 37 ›› Issue (5): 143-145.

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Cloud Database Dynamic Route Scheduling Based on Ant Colony Optimization Algorithm

SHI Heng-liang,BAI Guang-yi,TANG Zhen-min, LIU Chuan-ling   

  • Online:2018-12-01 Published:2018-12-01

Abstract: Cloud computing is the development trend of next generated computing network model. And how to effectively route storage resource in cloud is development's difficulty in ring of industry. Ant colony algorithm is a bionics optimization algorithm based group ants which has many priorities such as intelligent routing, overall optimization, robust ness,distributed computing,ability to mix itself with other algorithm. Based on the above two factors, this paper proposed a reasonable algorithm which can find the requiring database rapidly and effectively, and reduce the dynamic routing burdens of cloud database routing, and enhance the efficiency of cloud computing at a large.

Key words: ACO(ant colony optimization) , Cloud computing, Cloud database, Dynamic routing scheduling

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