中国邮电高校学报(英文) ›› 2014, Vol. 21 ›› Issue (4): 47-53.doi: 10.1016/S1005-8885(14)60315-0

• Networks • 上一篇    下一篇

Cloud download system optimizing by job and notification scheduling

徐嬴颖1,陈常嘉1,赵永祥2,陈一帅1   

  1. School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing 100044, China
  • 收稿日期:2013-12-09 修回日期:2014-05-16 出版日期:2014-08-31 发布日期:2014-08-30
  • 通讯作者: 徐嬴颖 E-mail:yingying_xu@tom.com
  • 基金资助:

    需求感知的分布式缓存网络的研究

Cloud download system optimizing by job and notification scheduling

  1. School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing 100044, China
  • Received:2013-12-09 Revised:2014-05-16 Online:2014-08-31 Published:2014-08-30

摘要: With expansion of cloud-based applications, it is necessarily for business service provider to deal with how to provision resources to server customers. In cloud download, the service provider faces great challenge on determining when to process job and when to notify the user to meet the conflicting objectives, i.e., the service profit maximization and user satisfaction maximization. An economic model was proposed to find job and notification scheduling strategies for making tradeoffs between user satisfaction and profit of the system. In this model, optimization problems are formulated as follows, profit maximization under a satisfaction target and then satisfaction optimization with a profit bound. By solving these optimization problems, the optimal scheduling strategies are obtained under various quality requirements of service. It is demonstrated that the proposed strategy can obtain better performance than the system without the intelligent scheduling strategy.

关键词: cloud download, economic model, optimization, scheduling strategy, user satisfaction

Abstract: With expansion of cloud-based applications, it is necessarily for business service provider to deal with how to provision resources to server customers. In cloud download, the service provider faces great challenge on determining when to process job and when to notify the user to meet the conflicting objectives, i.e., the service profit maximization and user satisfaction maximization. An economic model was proposed to find job and notification scheduling strategies for making tradeoffs between user satisfaction and profit of the system. In this model, optimization problems are formulated as follows, profit maximization under a satisfaction target and then satisfaction optimization with a profit bound. By solving these optimization problems, the optimal scheduling strategies are obtained under various quality requirements of service. It is demonstrated that the proposed strategy can obtain better performance than the system without the intelligent scheduling strategy.

Key words: cloud download, economic model, optimization, scheduling strategy, user satisfaction

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