Journal on Communications ›› 2016, Vol. 37 ›› Issue (7): 151-160.doi: 10.11959/j.issn.1000-436x.2016144

• Academic paper • Previous Articles     Next Articles

Dynamic fair allocation of multi-resources based on shared resource quantity

Xiao-lu ZHANG,Xi LIU,Wei-dong LI,Xue-jie ZHANG   

  1. School of Information Science and Engineering, Yunnan University, Kunming 650091, China
  • Online:2016-07-25 Published:2016-07-28
  • Supported by:
    The National Natural Science Foundation of China;The National Natural Science Foundation of China;Scientific Research Foundation of Yunnan Provincial Department of Education;Natural Science Foundation of Yunnan Province

Abstract:

A dynamic fair allocation of multi-resources was proposed based on shared resource quantity for multi-resoures allocation problem in cloud shared computing system. Firstly, a linear programming model was given based on resource requirements and quantity of shared resource and this model was further proved which satisfies four fairness properties such as DPO, SI, DEF and SP. Secondly, an improved dynamic multi-resources fair allocation algo-rithm was introduced for the allocation efficiency. Finally, theoretical analysis and experiments demonstrate that this strategy can satisfy the demands as well as maximize the dominant share on the base of approaching fairness and the im-proved algorithm increases the allocation efficiency in the dynamic system.

Key words: cloud computing, multi-resources fairness allocation, dominant share, shared resource quantity

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