›› 2016, Vol. 31 ›› Issue (6): 1087-1095.doi: 10.1007/s11390-016-1684-9

Special Issue: Computer Graphics and Multimedia

• Special Section on Data-Driven Design for Edge Network and Edge Cloud • Previous Articles     Next Articles

CPA-VoD: Cloud and Peer-Assisted Video on Demand System for Mobile Devices

Lei-Gen Cheng1, Laizhong Cui2, Member, CCF, IEEE, Yong Jiang1, Member, IEEE   

  1. 1 Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China;
    2 College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China
  • Received:2016-07-19 Revised:2016-10-05 Online:2016-11-05 Published:2016-11-05
  • Contact: Lei-Gen Cheng, Laizhong Cui, Yong Jiang E-mail:leigencheng@gmail.com;cuilz@szu.edu.cn;jiangy@sz.tsinghua.edu.cn
  • About author:Lei-Gen Cheng is a graduate student in the Graduate School at Shenzhen, Tsinghua University, Shenzhen.
  • Supported by:

    This work is supported by the National Natural Science Foundation of China under Grant No. 61402294, the Natural Science Foundation of Guangdong Province of China under Grant No. S2013040012895, the Foundation for Distinguished Young Talents in Higher Education of Guangdong Province of China under Grant No. 2013LYM 0076, the Major Fundamental Research Project in the Science and Technology Plan of Shenzhen under Grant Nos. JCYJ20140828163633977 and JCYJ20160310095523765, and the Research and Development Program of Shenzhen under Grant Nos. ZDSYS20140509172959989, JSGG20150512162853495, and Shenfagai(2015)986.

With the rapid development of WiFi and 3G/4G,people tend to view videos on mobile devices.These devices are ubiquitous but have small memory to cache videos.As a result,in contrast to traditional computers,these devices aggravate the network pressure of content providers.Previous studies use CDN to solve this problem.But its static leasing mechanism in which the rental space cannot be dynamically adjusted makes the operational cost soar and incompatible with the dynamically video delivery.In our study,based on a thorough analysis of user behavior from Tencent Video,a popular Chinese on-line video share platform,we identify two key user behaviors.Firstly,lots of users in the same region tend to watch the same video.Secondly,the popularity distribution of videos conforms with the Pareto principle,i.e.,the top 20% popular videos own 80% of all video traffic.To turn these observations into silver bullet,we propose and implement a novel cloud-and peer-assisted video on demand system (CPA-VoD).In the system,we group users in the same region as a peer swarm,and in the same peer swarm,users can provide videos to other users by sharing their cached videos.Besides,we cache the 10% most popular videos in cloud servers to further alleviate the network pressure.We choose cloud servers to cache videos because the rental space can be dynamically adjusted.According to the evaluation on a real dataset from Tencent Video,CPA-VoD alleviates the network pressure and the operation cost excellently,while only 20.9% traffic is serviced by the content provider.

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