Cloud download system optimizing by job and notification scheduling

doi:10.1016/S1005-8885(14)60315-0

Acta Metallurgica Sinica(English letters) ›› 2014, Vol. 21 ›› Issue (4): 47-53.doi: 10.1016/S1005-8885(14)60315-0

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Cloud download system optimizing by job and notification scheduling

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

Abstract

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

CLC Number:

TP393

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Cloud download system optimizing by job and notification scheduling

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