{"title":"使用流行通信的部分数据库复制","authors":"J. Holliday, D. Agrawal, A. E. Abbadi","doi":"10.1109/ICDCS.2002.1022298","DOIUrl":null,"url":null,"abstract":"Data replication in distributed databases has been investigated extensively with the hope that it will improve performance, reliability, and availability. However the growth of the Internet has shown us that current replica management do not work well when the replicas are connected by an unreliable network, subject to congestion and dynamic topology changes. In this paper we present a replica update protocol that handles an adaptive partial replication scheme on such a network.","PeriodicalId":186210,"journal":{"name":"Proceedings 22nd International Conference on Distributed Computing Systems","volume":"222 5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"49","resultStr":"{\"title\":\"Partial database replication using epidemic communication\",\"authors\":\"J. Holliday, D. Agrawal, A. E. Abbadi\",\"doi\":\"10.1109/ICDCS.2002.1022298\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Data replication in distributed databases has been investigated extensively with the hope that it will improve performance, reliability, and availability. However the growth of the Internet has shown us that current replica management do not work well when the replicas are connected by an unreliable network, subject to congestion and dynamic topology changes. In this paper we present a replica update protocol that handles an adaptive partial replication scheme on such a network.\",\"PeriodicalId\":186210,\"journal\":{\"name\":\"Proceedings 22nd International Conference on Distributed Computing Systems\",\"volume\":\"222 5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-07-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"49\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 22nd International Conference on Distributed Computing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDCS.2002.1022298\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 22nd International Conference on Distributed Computing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDCS.2002.1022298","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Partial database replication using epidemic communication
Data replication in distributed databases has been investigated extensively with the hope that it will improve performance, reliability, and availability. However the growth of the Internet has shown us that current replica management do not work well when the replicas are connected by an unreliable network, subject to congestion and dynamic topology changes. In this paper we present a replica update protocol that handles an adaptive partial replication scheme on such a network.
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