A Multi-constraint Resource Search Algorithm for P2P-SIP Conference Services

Abstract : Peer-to-peer conference is an interactive multi-users conferencing application that improves the issues of concentrated loading, single-point failure and expensive infrastructure cost for the traditional centralized conference model, according to the conference resource shared by each other. The benefit of non-centralized system can be achieved by using P2P-SIP. However, unlike the traditional centralized architecture, the conference resource is provided by each peer user. How to search the heterogeneous resource efficiently is a key point in the dynamic and distributed environment. Thus, we proposed a multi-constraint resource search algorithm for P2P-SIP conferencing services. In the full distributed environment, users can search a usable resource to reduce the call-setup time and save the conferencing cost according to the conferencing scale and the quality requirements.
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Communication dans un congrès
James J. Park; Albert Zomaya; Sang-Soo Yeo; Sartaj Sahni. 9th International Conference on Network and Parallel Computing (NPC), Sep 2012, Gwangju, South Korea. Springer, Lecture Notes in Computer Science, LNCS-7513, pp.360-372, 2012, Network and Parallel Computing. 〈10.1007/978-3-642-35606-3_42〉
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Hui-Kai Su, Wen-Hsu Hsiao, Jian-Ting Pan, Chen-Hung Liao, Kim-Joan Chen, et al.. A Multi-constraint Resource Search Algorithm for P2P-SIP Conference Services. James J. Park; Albert Zomaya; Sang-Soo Yeo; Sartaj Sahni. 9th International Conference on Network and Parallel Computing (NPC), Sep 2012, Gwangju, South Korea. Springer, Lecture Notes in Computer Science, LNCS-7513, pp.360-372, 2012, Network and Parallel Computing. 〈10.1007/978-3-642-35606-3_42〉. 〈hal-01551334〉

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