Resource Scheduling Algorithm Applied in Cloud Computing

Hean LIU1, Shuguang WU2 

1.Hunan City University, Yiyang, 413000, China 

2.Modern Education Technology Center, Hunan University of Technology, Zhuzhou, 411201, China

Abstract: To improve the efficiency and accuracy to discovery resource in cloud system, this paper proposes CICP resource scheduling algorithm. The algorithm is proposed based on cloud resource scheduling modeling, cloud applications preference measurement and multidimensional objective optimization function. According to application preference information, the algorithm makes antibody immune clone operation, immune genet-ic operation and immune selection operation on antibody priority allocation preferences, and then the paper gives specific steps of the algorithm to conduct experimental validation on availability, ｌｏａｄ balancing and ef-ficient time. Experimental results show that the proposed algorithm can satisfy the requirements of resource scheduling in cloud computing. Keywords: Preferences measure; Utility optimization; Immune genes; Clone