Journal of Guangdong University of Technology ›› 2016, Vol. 33 ›› Issue (01): 29-35.doi: 10.3969/j.issn.1007-7162.2016.01.006

• Comprehensive Studies • Previous Articles     Next Articles

Optimization Control of Cloud Resource Allocation Based on DES

Hu Qin, Liu Fu-chun   

  1. School of Computers, Guangdong University of Technology, Guangzhou 510006, China
  • Received:2015-01-15 Online:2016-01-16 Published:2016-01-16

Abstract: How to allocate resources reasonably and effectively has been an important problem in the field of cloud computing. For traditional cloud resource allocation algorithms can not effectively shield the isomerization of underlying hardware resources, and they also can not neglect the categories of different layers' cloud service, this paper proposes a multi-parameter resource packing method, and constructs a cloud resource allocation control model based on discrete event system. Besides, it gives a reasonable resource allocation algorithm. By calculating the close degree of capacity parameters from each resource package over the servers and the resource demands of the clients, the algorithm defines the resource allocation events, and hierarchically controls the states’ occurrence or nonoccurrence. Finally, the entire resource allocation system will reach an acceptable state. The experiments show that the cloud resource allocation model based on the discrete event system can guarantee that under the acceptable state, not only each resource request can get a reasonable allocation, but also the resource can get a maximal utilization.

Key words: cloud resource allocation; discrete event systems(DES); resource packages; resource utilization rate

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