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Content subscribing mechanism in P2P streaming based on gamma distribution prediction
作者姓名:GUO  Tong-qiang  WENG  Jian-guang  ZHUANG  Yue-ting
作者单位:School of Computer Science,Zhejiang University,Hangzhou 310027,China
基金项目:the National Natural Science Foundation of China (Nos. 60533090 and 60525108),the National Basic research Program (973) of China (No. 2002CB312101),the China-US Million Book Digital Library Project (www.cadal.zju.edu.cn),the Science and Technology Project of Zhejiang Province (Nos. 2005C13032 and 2005C11001-05),the Research Project of Education Department of Zhejiang Province (No. 20061352), China
摘    要:P2P systems are categorized into tree-based and mesh-based systems according to their topologies. Mesh-based systems are considered more suitable for large-scale Internet applications, but require optimization on latency issue. This paper proposes a content subscribing mechanism (CSM) to eliminate unnecessary time delays during data relaying. A node can send content data to its neighbors as soon as it receives the data segment. No additional time is taken during the interactive stages prior to data segment transmission of streaming content. CSM consists of three steps. First, every node records its historical segments latency, and adopts gamma distribution, which possesses powerful expression ability, to express latency statistics. Second, a node predicts subscribing success ratio of every neighbor by comparing the gamma distribution parameters of the node and its neighbors before selecting a neighbor node to subscribe a data segment. The above steps would not increase latency as they are executed before the data segments are ready at the neighbor nodes. Finally, the node, which was subscribed to, sends the subscribed data segment to the subscriber immediately when it has the data segment. Experiments show that CSM significantly reduces the content data transmission latency.

关 键 词:国际互联网  分布特点  流动特点  P2P技术
收稿时间:2007-02-25
修稿时间:2007-09-13

Content subscribing mechanism in P2P streaming based on gamma distribution prediction
GUO Tong-qiang WENG Jian-guang ZHUANG Yue-ting.Content subscribing mechanism in P2P streaming based on gamma distribution prediction[J].Journal of Zhejiang University Science,2007,8(12):1983-1989.
Authors:Guo Tong-qiang  Weng Jian-guang  Zhuang Yue-ting
Institution:(1) School of Computer Science, Zhejiang University, Hangzhou, 310027, China
Abstract:P2P systems are categorized into tree-based and mesh-based systems according to their topologies. Mesh-based systems are considered more suitable for large-scale Internet applications, but require optimization on latency issue. This paper proposes a content subscribing mechanism (CSM) to eliminate unnecessary time delays during data relaying. A node can send content data to its neighbors as soon as it receives the data segment. No additional time is taken during the interactive stages prior to data segment transmission of streaming content. CSM consists of three steps. First, every node records its historical segments latency, and adopts gamma distribution, which possesses powerful expression ability, to express latency statistics. Second, a node predicts subscribing success ratio of every neighbor by comparing the gamma distribution parameters of the node and its neighbors before selecting a neighbor node to subscribe a data segment. The above steps would not increase latency as they are executed before the data segments are ready at the neighbor nodes. Finally, the node, which was subscribed to, sends the subscribed data segment to the subscriber immediately when it has the data segment. Experiments show that CSM significantly reduces the content data transmission latency.
Keywords:P2P streaming  Gamma distribution  Content subscribing mechanism (CSM)
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