{"title":"接近远程集之间的差异数量","authors":"S. Agarwal, A. Trachtenberg","doi":"10.1109/ITW.2006.1633815","DOIUrl":null,"url":null,"abstract":"We consider the problem of approximating the number of differences between sets held on remote hosts using minimum communication. Efficient solutions to this problem are important for streamlining a variety of communication sensitive network applications, including data synchronization in mobile networks, gossip protocols and content delivery networks. Using tools from the field of interactive communication, we show that this problem requires about as much communication as the problem of exactly determining such differences. As a result, we propose a heuristic solution based on the counting Bloom filter. We provide analytic bounds on the expected performance of our protocol and also experimental evidence that they can outperform existing difference approximation techniques.","PeriodicalId":293144,"journal":{"name":"2006 IEEE Information Theory Workshop - ITW '06 Punta del Este","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"Approximating the number of differences between remote sets\",\"authors\":\"S. Agarwal, A. Trachtenberg\",\"doi\":\"10.1109/ITW.2006.1633815\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We consider the problem of approximating the number of differences between sets held on remote hosts using minimum communication. Efficient solutions to this problem are important for streamlining a variety of communication sensitive network applications, including data synchronization in mobile networks, gossip protocols and content delivery networks. Using tools from the field of interactive communication, we show that this problem requires about as much communication as the problem of exactly determining such differences. As a result, we propose a heuristic solution based on the counting Bloom filter. We provide analytic bounds on the expected performance of our protocol and also experimental evidence that they can outperform existing difference approximation techniques.\",\"PeriodicalId\":293144,\"journal\":{\"name\":\"2006 IEEE Information Theory Workshop - ITW '06 Punta del Este\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-03-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 IEEE Information Theory Workshop - ITW '06 Punta del Este\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITW.2006.1633815\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE Information Theory Workshop - ITW '06 Punta del Este","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITW.2006.1633815","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Approximating the number of differences between remote sets
We consider the problem of approximating the number of differences between sets held on remote hosts using minimum communication. Efficient solutions to this problem are important for streamlining a variety of communication sensitive network applications, including data synchronization in mobile networks, gossip protocols and content delivery networks. Using tools from the field of interactive communication, we show that this problem requires about as much communication as the problem of exactly determining such differences. As a result, we propose a heuristic solution based on the counting Bloom filter. We provide analytic bounds on the expected performance of our protocol and also experimental evidence that they can outperform existing difference approximation techniques.