JOURNAL OF CHINA UNIVERSITIES OF POSTS AND TELECOM ›› 2017, Vol. 24 ›› Issue (5): 53-59.doi: 10.1016/S1005-8885(17)60233-4

• Networks • Previous Articles     Next Articles

Dynamic resource allocation in cloud download service

Tan Xiaoying, Huang Dan, Guo Yuchun, Chen Changjia   

  1. 1. School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China
    2. Network and Information Security Research Department, Electronic Technology Information Research Institute, Beijing 100040, China
  • Received:2017-05-23 Revised:2017-09-29 Online:2017-10-30 Published:2017-12-18
  • Contact: Huang Dan, E-mail:
  • About author:Huang Dan, E-mail:
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (61572071, 61271199, 61301082).


Cloud download service, as a new application which downloads the requested content offline and reserves it in cloud storage until users retrieve it, has recently become a trend attracting millions of users in China. In the face of the dilemma between the growth of download requests and the limitation of storage resource, the cloud servers have to design an efficient resource allocation scheme to enhance the utilization of storage as well as to satisfy users’ needs like a short download time. When a user’s churn behavior is considered as a Markov chain process, it is found that a proper allocation of download speed can optimize the storage resource utilization. Accordingly, two dynamic resource allocation schemes including a speed switching (SS) scheme and a speed increasing (SI) scheme are proposed. Both theoretical analysis and simulation results prove that our schemes can effectively reduce the consumption of storage resource and keep the download time short enough for a good user experience.

Key words: cloud download service, storage consumption, user experience, dynamic resource allocation

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