{"title":"简短公告:单调稳定","authors":"Yukiko Yamauchi, S. Tixeuil","doi":"10.1145/1835698.1835794","DOIUrl":null,"url":null,"abstract":"In this brief announcement, we discuss the trade-off between the locality of information and the optimality of convergence for self-stabilization. We define the optimality of convergence, called monotonic stabilization, and propose a new metrics for the locality of information to achieve monotonic stabilization. Then, we examine the locality of many well-known distributed problems.","PeriodicalId":447863,"journal":{"name":"Proceedings of the 29th ACM SIGACT-SIGOPS symposium on Principles of distributed computing","volume":"70 49","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Brief announcement: monotonic stabilization\",\"authors\":\"Yukiko Yamauchi, S. Tixeuil\",\"doi\":\"10.1145/1835698.1835794\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this brief announcement, we discuss the trade-off between the locality of information and the optimality of convergence for self-stabilization. We define the optimality of convergence, called monotonic stabilization, and propose a new metrics for the locality of information to achieve monotonic stabilization. Then, we examine the locality of many well-known distributed problems.\",\"PeriodicalId\":447863,\"journal\":{\"name\":\"Proceedings of the 29th ACM SIGACT-SIGOPS symposium on Principles of distributed computing\",\"volume\":\"70 49\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 29th ACM SIGACT-SIGOPS symposium on Principles of distributed computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1835698.1835794\",\"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 of the 29th ACM SIGACT-SIGOPS symposium on Principles of distributed computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1835698.1835794","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this brief announcement, we discuss the trade-off between the locality of information and the optimality of convergence for self-stabilization. We define the optimality of convergence, called monotonic stabilization, and propose a new metrics for the locality of information to achieve monotonic stabilization. Then, we examine the locality of many well-known distributed problems.