A Fairness-Based Access Control Scheme to Optimize IPTV Fast Channel Changing

Author:

Lai Junyu1ORCID,Li James C. F.1,Abdollahpouri Alireza2ORCID,Zhang Jianhua3ORCID,Lei Ming1

Affiliation:

1. NEC Labs China, Beijing 10084, China

2. Department of Computer Engineering and Information Technology, University of Kurdistan, Sanandaj 66177 15175, Iran

3. College of Computer Science, Zhejiang University of Technology, Hangzhou 310023, China

Abstract

IPTV services are typically featured with a longer channel changing delay compared to the conventional TV systems. The major contributor to this lies in the time spent on intraframe (I-frame) acquisition during channel changing. Currently, most widely adopted fast channel changing (FCC) methods rely on promptly transmitting to the client (conducting the channel changing) a retained I-frame of the targeted channel as a separate unicasting stream. However, this I-frame acceleration mechanism has an inherent scalability problem due to the explosions of channel changing requests during commercial breaks. In this paper, we propose a fairness-based admission control (FAC) scheme for the original I-frame acceleration mechanism to enhance its scalability by decreasing the bandwidth demands. Based on the channel changing history of every client, the FAC scheme can intelligently decide whether or not to conduct the I-frame acceleration for each channel change request. Comprehensive simulation experiments demonstrate the potential of our proposed FAC scheme to effectively optimize the scalability of the I-frame acceleration mechanism, particularly in commercial breaks. Meanwhile, the FAC scheme only slightly increases the average channel changing delay by temporarily disabling FCC (i.e., I-frame acceleration) for the clients who are addicted to frequent channel zapping.

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Fast Channel Navigation of Internet Protocol Television Using Adaptive Hybrid Delivery Method;Journal of Computer Networks and Communications;2018-07-08

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