{"title":"A Decentralized Content-based Aggregation Service for Pervasive Environments","authors":"N. Jiang, C. Schmidt, M. Parashar","doi":"10.1109/PERSER.2006.1652226","DOIUrl":null,"url":null,"abstract":"This paper presents a content-based decentralized information aggregation service for pervasive environments. The service provides a uniform query interface where aggregation queries are specified using content descriptors in the form of keywords, partial keywords, wildcards and ranges. The service guarantees that all data that matches a complex/range query was located and aggregated in an efficient and scalable way. The design of the aggregation service uses a decentralized aggregation trie along with a distributed and decentralized query engine. The deployment and experimental evaluation of the aggregation service are also presented. Evaluations include simulations as well as experiments using deployments on local-area network at Rutgers and wide-area PlanetLab testbed","PeriodicalId":377064,"journal":{"name":"2006 ACS/IEEE International Conference on Pervasive Services","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 ACS/IEEE International Conference on Pervasive Services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PERSER.2006.1652226","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16
Abstract
This paper presents a content-based decentralized information aggregation service for pervasive environments. The service provides a uniform query interface where aggregation queries are specified using content descriptors in the form of keywords, partial keywords, wildcards and ranges. The service guarantees that all data that matches a complex/range query was located and aggregated in an efficient and scalable way. The design of the aggregation service uses a decentralized aggregation trie along with a distributed and decentralized query engine. The deployment and experimental evaluation of the aggregation service are also presented. Evaluations include simulations as well as experiments using deployments on local-area network at Rutgers and wide-area PlanetLab testbed