Content subscribing mechanism in P2P streaming based on gamma distribution prediction
Content subscribing mechanism in P2P streaming based on gamma distribution prediction
复制标题
基于伽玛分布预测的P2P流媒体内容订阅机制
DOI：
10.1631/jzus.2007.a1983
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发表时间：
2007-11
影响因子：
3.2
通讯作者：
Zhuang Yue-ting
中科院分区：
文献类型：
--
作者：
Weng Jian-guang;Guo Tong-qiang;Zhuang Yue-ting
P2P系统根据其拓扑结构分为基于树的系统和基于网格的系统。基于网格的系统被认为更适合大规模的互联网应用，但需要优化的延迟问题。本文提出了一种内容订阅机制（CSM），以消除不必要的时间延迟，在数据中继。节点一接收到数据段就可以向其邻居发送内容数据。在流内容的数据段传输之前的交互阶段期间不花费额外的时间。CSM由三个步骤组成。首先，每个节点记录其历史段延迟，并采用具有强大表达能力的伽马分布来表达延迟统计。其次，节点在选择订阅数据段的邻居节点之前，通过比较节点及其邻居节点的伽马分布参数来预测每个邻居节点的订阅成功率。上述步骤不会增加延迟，因为它们是在数据段在相邻节点处准备好之前执行的。最后，被订阅的节点在其具有数据段时立即将订阅的数据段发送给订阅者。实验表明，CSM显著降低了内容数据的传输延迟.
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.
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DOI：
10.1109/icdcs.2005.20
发表时间：
2005-06
期刊：
25th IEEE International Conference on Distributed Computing Systems (ICDCS'05)
影响因子：
--
作者：
S. Verma;Wei Tsang Ooi
通讯作者：
S. Verma;Wei Tsang Ooi
DOI：
--
发表时间：
--
期刊：
--
影响因子：
--
作者：
通讯作者：
--
影响因子：
2.8
作者：
Banerjee, S;Bhattacharjee, B;Kommareddy, C
通讯作者：
Kommareddy, C
DOI：
10.1007/3-540-45546-9_2
发表时间：
2001-11
期刊：
--
影响因子：
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作者：
Sylvia Ratnasamy;M. Handley;R. Karp;S. Shenker
通讯作者：
Sylvia Ratnasamy;M. Handley;R. Karp;S. Shenker
DOI：
10.1109/infcom.2003.1208964
发表时间：
2003-07
期刊：
IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428)
影响因子：
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作者：
D. Tran;K. Hua;T. Do
通讯作者：
D. Tran;K. Hua;T. Do