On optimal piggyback merging policies for video-on-demand systems

Author:

Aggarwal Charu1,Wolf Joel2,Yu Philip S.2

Affiliation:

1. Massachusetts Institute of Technology, Cambridge, Massachusetts

2. IBM T.J. Watson Research Center, Yorktown Heights, New York

Abstract

A critical issue in the performance of a video-on-demand system is the I/O bandwidth required in order to satisfy client requests. A number of techniques have been proposed in order to reduce these bandwidth requirements. In this paper we concentrate on one such technique, known as adaptive piggybacking. We develop and analyze piggyback merging policies which are optimal over large classes of reasonable methods.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Cited by 12 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. Request-Based Multicasting in Video-on-Demand Systems;Building Next-Generation Converged Networks;2013-01-29

2. Patching-based broadcasting scheme for video services;Computer Communications;2008-06

3. Off-line and on-line guaranteed start-up delay for Media-on-Demand with stream merging;Journal of Discrete Algorithms;2006-03

4. Dimensioning the capacity of true video-on-demand servers;IEEE Transactions on Multimedia;2005-10

5. Bandwidth Reduction Techniques for Video Services;Wiley Encyclopedia of Telecommunications;2003-04-15

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3