rSearch: Ring-Based Semantic Overlay for Efficient Recall-Guaranteed Search in P2P Networks

Zhenyu Li, Gaogang Xie
{"title":"rSearch: Ring-Based Semantic Overlay for Efficient Recall-Guaranteed Search in P2P Networks","authors":"Zhenyu Li, Gaogang Xie","doi":"10.1109/ICPPW.2010.55","DOIUrl":null,"url":null,"abstract":"Providing recall-guaranteed search is critical for P2P networks. While building semantic overlay improves search performance, existing designs suffer from a tradeoff between search time and search quality (i.e. high recall). Moreover, they require to use high control overhead for overlay maintenance. In this paper, we present rSearch to achieve fast search with guaranteed high recall. The rSearch-enabled overlay topology looks like a ring, augmented with semantic chord links. Given a query, rSearch uses multiple query walkers that traverse on the ring independently to find relevant semantic nodes for answers. The ring structure facilitates fast and low-redundancy query forwarding, while the abundant semantic chord links enable large semantic clusters. Bloom Filter is used to encode and compress node semantic summaries, greatly saving control overhead. rSearch further considers churn resilience and network awareness to enhance system performance. Extensive simulations with real-life file sharing trace and network latency trace show that rSearch greatly outperforms GES.","PeriodicalId":415472,"journal":{"name":"2010 39th International Conference on Parallel Processing Workshops","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 39th International Conference on Parallel Processing Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPPW.2010.55","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Providing recall-guaranteed search is critical for P2P networks. While building semantic overlay improves search performance, existing designs suffer from a tradeoff between search time and search quality (i.e. high recall). Moreover, they require to use high control overhead for overlay maintenance. In this paper, we present rSearch to achieve fast search with guaranteed high recall. The rSearch-enabled overlay topology looks like a ring, augmented with semantic chord links. Given a query, rSearch uses multiple query walkers that traverse on the ring independently to find relevant semantic nodes for answers. The ring structure facilitates fast and low-redundancy query forwarding, while the abundant semantic chord links enable large semantic clusters. Bloom Filter is used to encode and compress node semantic summaries, greatly saving control overhead. rSearch further considers churn resilience and network awareness to enhance system performance. Extensive simulations with real-life file sharing trace and network latency trace show that rSearch greatly outperforms GES.
基于环的语义覆盖在P2P网络中的高效召回保证搜索研究
提供保证召回的搜索对P2P网络至关重要。虽然构建语义覆盖可以提高搜索性能,但现有的设计在搜索时间和搜索质量(即高召回率)之间存在权衡。此外,它们需要使用高控制开销来维护覆盖层。在本文中,我们研究如何在保证高召回率的情况下实现快速搜索。支持搜索的覆盖拓扑看起来像一个环,增加了语义和弦链接。给定一个查询,rSearch使用多个查询行走器在环上独立地遍历,为答案找到相关的语义节点。环状结构有利于快速、低冗余的查询转发,而丰富的语义和弦链接则有利于实现大的语义集群。使用Bloom Filter对节点语义摘要进行编码和压缩,大大节省了控制开销。研究进一步考虑了流失弹性和网络感知来提高系统性能。广泛的模拟与现实生活中的文件共享跟踪和网络延迟跟踪表明,研究大大优于GES。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信