Electronic Science and Technology ›› 2019, Vol. 32 ›› Issue (3): 31-36.doi: 10.16180/j.cnki.issn1007-7820.2019.03.007

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Cost Optimization Model for Cloud Resource Allocation Based on Packet Cluster

LÜ Tengfei1,CHEN Shiping1,2,WANG Lei1   

  1. 1. School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China
    2. Network and Information Center Office,University of Shanghai for Science and Technology,Shanghai 200093,China
  • Received:2018-03-18 Online:2019-03-15 Published:2019-03-01
  • Supported by:
    National Natural Science Foundation of China(61472256);Scientific Research and Innovation Key Project of Shanghai Municipal Education Commission(12zz137);Shanghai First Class Dis-cipline Construction Project(S1201YLXK)


To resolve the high cost in cloud computing data center caused by traditional resource management, a cost optimization model for cloud resource allocation based on packet-cluster was proposed. The model abstracted the specific needs of the users into individual requirements packages and integrated various resources of data center into resource clusters. Through the improved particle swarm algorithm based on the concept of package clustering, the deployment mapping of demand packages to resource clusters were finally implemented. The experimental results showed that the model was not only effective to reduce operating costs in resource allocation process but also improved the resource utilization of physical servers.

Key words: cloud computing, data center, resource allocation, VM, package cluster, particle swarm optimization

CLC Number: 

  • TP391