{"title":"Bandwidth-Efficient Continuous Query Processing over DHTs","authors":"Yingwu Zhu","doi":"10.1109/ICPP.2008.11","DOIUrl":null,"url":null,"abstract":"In this paper, we propose novel techniques to reduce bandwidth cost in a continuous keyword query processing system that is based on a distributed hash table. We argue that query indexing and document announcement are of significant importance towards this goal. Our detailed simulations show that our proposed techniques, combined together, effectively and greatly reduce bandwidth cost.","PeriodicalId":388408,"journal":{"name":"2008 37th International Conference on Parallel Processing","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 37th International Conference on Parallel Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPP.2008.11","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
In this paper, we propose novel techniques to reduce bandwidth cost in a continuous keyword query processing system that is based on a distributed hash table. We argue that query indexing and document announcement are of significant importance towards this goal. Our detailed simulations show that our proposed techniques, combined together, effectively and greatly reduce bandwidth cost.