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학술대회 ISP-Driven Managed P2P Framework for Effective Real-Time IPTV Service
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저자
전세일, 김영한, 이종화, 강신각
발행일
200909
출처
Smart Spaces and Next Generation Wired/Wireless Networking, pp.229-240
DOI
https://dx.doi.org/10.1007/978-3-642-04190-7_21
협약과제
09ME2100, 분산 서비스 오버레이 네트워킹 표준개발, 강신각
초록
Over the years, in attempts to overcome client-server based limitations, a variety of Peer-to-Peer (P2P) technologies have been developed. This feature can contribute to robustness and scalability. However, it introduces network-oblivious traffic because of network-unaware peer selection. As P2P users have increased, so does the damage this problem causes. To solve this problem, various P2P model based on collaboration between ISP and P2P users have been recently suggested and then reduced network-oblivious traffic by removing biased peer selection. However, previous schemes have mainly focused on reducing traffic, which does improve network performance. In order to support effective real-time IPTV services, it should be required to not only reduce network-oblivious traffic, but it should also improve user performance such as delay and jitter because IPTV is an application sensitive to delay and jitter. In fact, the reduction of network-oblivious traffic improves user performance but it cannot always guarantee optimum performance experienced by real-time streaming service users. In this paper, we propose an ISP-driven managed P2P framework and peer selection mechanism for real-time IPTV user. For the evaluation, we use a QualNet 4.0 simulator and show proposed mechanism provides the performance effectively. Ultimately, we confirmed that ISPs should reflect the delay information of organized P2P network as well as the link traffic between each peer for effective real-time IPTV services. © 2009 Springer Berlin Heidelberg.
키워드
Biased peer selection, Managed P2P, P2P streaming mechanism
KSP 제안 키워드
Client-server, IPTV services, Network performance, Optimum Performance, P2P Network, P2P framework, P2P streaming, Peer selection, Peer-to-Peer(P2P), Real-Time Streaming, Selection mechanism