{"title":"分布式接入SRS的覆盖网络方法","authors":"T. Fuhrmann, A. Schafferhans, T. Etzold","doi":"10.1109/CCGRID.2003.1199420","DOIUrl":null,"url":null,"abstract":"SRS is a widely used system for integrating biological databases. Currently, SRS relies only on locally provided copies of these databases. In this paper we propose a mechanism that also allows the seamless integration of remote databases. To this end, our proposed mechanism splits the existing SRS functionality into two components and adds a third component that enables us to employ peer-to-peer computing techniques to create optimized overlay-networks within which database queries can efficiently be routed. As an additional benefit, this mechanism also reduces the administration effort that would be needed with a conventional approach using replicated databases.","PeriodicalId":433323,"journal":{"name":"CCGrid 2003. 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid, 2003. Proceedings.","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An overlay-network approach for distributed access to SRS\",\"authors\":\"T. Fuhrmann, A. Schafferhans, T. Etzold\",\"doi\":\"10.1109/CCGRID.2003.1199420\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"SRS is a widely used system for integrating biological databases. Currently, SRS relies only on locally provided copies of these databases. In this paper we propose a mechanism that also allows the seamless integration of remote databases. To this end, our proposed mechanism splits the existing SRS functionality into two components and adds a third component that enables us to employ peer-to-peer computing techniques to create optimized overlay-networks within which database queries can efficiently be routed. As an additional benefit, this mechanism also reduces the administration effort that would be needed with a conventional approach using replicated databases.\",\"PeriodicalId\":433323,\"journal\":{\"name\":\"CCGrid 2003. 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid, 2003. Proceedings.\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-05-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CCGrid 2003. 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid, 2003. Proceedings.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCGRID.2003.1199420\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"CCGrid 2003. 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid, 2003. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCGRID.2003.1199420","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An overlay-network approach for distributed access to SRS
SRS is a widely used system for integrating biological databases. Currently, SRS relies only on locally provided copies of these databases. In this paper we propose a mechanism that also allows the seamless integration of remote databases. To this end, our proposed mechanism splits the existing SRS functionality into two components and adds a third component that enables us to employ peer-to-peer computing techniques to create optimized overlay-networks within which database queries can efficiently be routed. As an additional benefit, this mechanism also reduces the administration effort that would be needed with a conventional approach using replicated databases.