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基于OpenFlow的流媒体云服务迁移方法
  • ISSN号:1000-3428
  • 期刊名称:《计算机工程》
  • 时间:0
  • 分类:TN[电子电信]
  • 作者机构:University of Science and Technology of China, Hefei, Anhui 230027, China
  • 相关基金:supported by the State Key Program of National Natural Science Foundation of China(Grant No.61233003);National Natural Science Foundation of China(Grant No.61503358)
中文摘要:

To cope with the rapid growth of mobile video, video providers have leveraged cloud technologies to deploy their mobile video service system for more cost-effective and scalable performance. The emergence of Software-Defined Networking(SDN) provides a promising solution to manage the underlying network. In this paper, we introduce an SDN-enabled cloud mobile video distribution architecture and propose a joint video placement, request dispatching and traffic management mechanism to improve user experience and reduce the system operational cost. We use a utility function to capture the two aspects of user experience: the level of satisfaction and average latency, and formulate the joint optimization problem as a mixed integer programming problem. We develop an optimal algorithm based on dual decomposition and prove its optimality. We conduct simulations to evaluate the performance of our algorithm and the results show that our strategy can effectively cut down the total cost and guarantee user experience.

英文摘要:

To cope with the rapid growth of mo- bile video, video providers have leveraged cloud technologies to deploy their mobile video service system for more cost-effective and scalable performance. The emergence of Software-Defined Networking (SDN) provides a promising solution to manage the underlying network. In this paper, we introduce an SDN-enabled cloud mobile video distribution architecture and propose a joint video placement, request dispatching and traffic man- agement mechanism to improve user experience and reduce the system operational cost. We use a utility function to capture the two aspects of user experience: the level of satisfaction and average latency, and formulate the joint optimization prob- lem as a mixed integer programming problem. We develop an optimal algorithm based on dual de- composition and prove its optimality. We conduct simulations to evaluate the performance of our al- gorithm and the results show that our strategy can effectively cut down the total cost and guarantee user experience.

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期刊信息
  • 《计算机工程》
  • 北大核心期刊(2014版)
  • 主管单位:中国电子科技集团公司
  • 主办单位:华东计算技术研究所 上海市计算机学会
  • 主编:游小明
  • 地址:上海市桂林路418号
  • 邮编:200233
  • 邮箱:ecice06@ecict.com.cn
  • 电话:021-64846769
  • 国际标准刊号:ISSN:1000-3428
  • 国内统一刊号:ISSN:31-1289/TP
  • 邮发代号:4-310
  • 获奖情况:
  • 1999~2000、2001~2002年度信息产业部优秀期刊奖,2003-2004、2005-2006年度信息产业部电子精品科技...,2007-2008、2009-2010年度工业和信息产业部电子精...,012年度中国科技论文在线优秀期刊一等奖,2013年度中国科技论文在线优秀期刊二等奖
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,美国化学文摘(网络版),波兰哥白尼索引,荷兰文摘与引文数据库,美国剑桥科学文摘,英国科学文摘数据库,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2014版),中国北大核心期刊(2000版)
  • 被引量:84139