Locality and Resource Aware Overlay Networks

碩士 === 國立臺灣大學 === 電機工程學研究所 === 95 === P2P overlay architectures are gaining more and more attention. Structured P2P network systems that use Distributed Hashing Tables (DHTs) can be more efficient than flooding based unstructured P2P network systems. But DHTs did not suit for key word search, so we...

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Main Authors: Chun-Hung Wu, 巫駿宏
Other Authors: Sheng-De Wang
Format: Others
Language:zh-TW
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/50735978918380201861
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spelling ndltd-TW-095NTU054421422015-12-07T04:04:14Z http://ndltd.ncl.edu.tw/handle/50735978918380201861 Locality and Resource Aware Overlay Networks 具侷限以以及資源相關性的覆蓋網路 Chun-Hung Wu 巫駿宏 碩士 國立臺灣大學 電機工程學研究所 95 P2P overlay architectures are gaining more and more attention. Structured P2P network systems that use Distributed Hashing Tables (DHTs) can be more efficient than flooding based unstructured P2P network systems. But DHTs did not suit for key word search, so we choose using unstructured P2P networks as our architecture. In order to solve the topology mismatch problem, many people take account of locality information when designing peer-to-peer overlay networks. Here, we not only exploit locality but also take resource features into account. Taking advantage of concepts of data replication, selective search, clustering, and interest group can improve the search performance of unstructured P2P networks. Our analysis shows that the overhead of locating procedure is O (log N), and N is the number of peers in the overlay network. Simulation proves that our algorithm is better than the mOverlay network in the number of messages per search and the hit ratio. Sheng-De Wang 王勝德 2007 學位論文 ; thesis 39 zh-TW
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language zh-TW
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description 碩士 === 國立臺灣大學 === 電機工程學研究所 === 95 === P2P overlay architectures are gaining more and more attention. Structured P2P network systems that use Distributed Hashing Tables (DHTs) can be more efficient than flooding based unstructured P2P network systems. But DHTs did not suit for key word search, so we choose using unstructured P2P networks as our architecture. In order to solve the topology mismatch problem, many people take account of locality information when designing peer-to-peer overlay networks. Here, we not only exploit locality but also take resource features into account. Taking advantage of concepts of data replication, selective search, clustering, and interest group can improve the search performance of unstructured P2P networks. Our analysis shows that the overhead of locating procedure is O (log N), and N is the number of peers in the overlay network. Simulation proves that our algorithm is better than the mOverlay network in the number of messages per search and the hit ratio.
author2 Sheng-De Wang
author_facet Sheng-De Wang
Chun-Hung Wu
巫駿宏
author Chun-Hung Wu
巫駿宏
spellingShingle Chun-Hung Wu
巫駿宏
Locality and Resource Aware Overlay Networks
author_sort Chun-Hung Wu
title Locality and Resource Aware Overlay Networks
title_short Locality and Resource Aware Overlay Networks
title_full Locality and Resource Aware Overlay Networks
title_fullStr Locality and Resource Aware Overlay Networks
title_full_unstemmed Locality and Resource Aware Overlay Networks
title_sort locality and resource aware overlay networks
publishDate 2007
url http://ndltd.ncl.edu.tw/handle/50735978918380201861
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