SDHT:面向P2P直播系统的高效单跳分布式哈希查找策略(英文)

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Video data location plays a key role for Peer-to-Peer (P2P) live streaming applications. In this paper, we propose a new one-hop Distributed Hash Table (DHT) lookup framework called Streaming-DHT (SDHT) to provide efficient video data location service. By adopting an enhanced events dissemination mechanism-EDRA+, the accuracy of routing table at peers can be guaranteed. More importantly, in order to enhance the performance of video data lookup operation without incurring extra overhead, we design a so-called Distributed Index Mapping and Management Mechanism (DIMM) for SDHT. Both analytical modeling and intensive simulation experiments are conducted to demonstrate the effectiveness of SDHT framework. Numerical results show that almost 90% requested video data can be retrieved within one second in SDHT based systems, and SDHT needs only 26% average bandwidth consumption when compared with similar one-hop DHT solutions such as D1HT. This indicates that SDHT framework is an appropriate data lookup solution for time-sensitive network applications such as P2P live streaming. Video data location plays a key role for Peer-to-Peer (P2P) live streaming applications. In this paper, we propose a new one-hop Distributed Hash Table (DHT) lookup framework called Streaming-DHT (SDHT) to provide efficient video data location service. By substantially anomalous dissemination mechanism-EDRA +, the accuracy of routing table at peers can be guaranteed. More importantly, in order to enhance the performance of video data lookup operation without incurring extra overhead, we design a so-called Both Distributed modeling and intensive simulation experiments are demonstrating the effectiveness of SDHT framework. Numerical results show that almost 90% requested video data can be retrieved within one second in SDHT based systems, and SDHT needs only 26% average bandwidth consumption when compared with similar one-hop DHT solutions such as D1HT. This indicates that SDHT framework is an appropriate da ta lookup solution for time-sensitive network applications such as P2P live streaming.
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