{"title":"分布式BFS算法","authors":"B. Awerbuch, R. Gallager","doi":"10.1109/SFCS.1985.20","DOIUrl":null,"url":null,"abstract":"This paper develops a new distributed BFS algorithm for an asynchronous communication network. This paper presents two new BFS algorithms with improved communication complexity. The first algorithm has complexity O((E+V1.5)¿logV) in communication and O(V1.5¿logV) in time. The second algorithm uses the technique of the first recursively and achieves O(E¿2 √logVloglogV) in communication and O(V¿2√logVloglogV) in time.","PeriodicalId":296739,"journal":{"name":"26th Annual Symposium on Foundations of Computer Science (sfcs 1985)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1985-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"54","resultStr":"{\"title\":\"Distributed BFS algorithms\",\"authors\":\"B. Awerbuch, R. Gallager\",\"doi\":\"10.1109/SFCS.1985.20\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper develops a new distributed BFS algorithm for an asynchronous communication network. This paper presents two new BFS algorithms with improved communication complexity. The first algorithm has complexity O((E+V1.5)¿logV) in communication and O(V1.5¿logV) in time. The second algorithm uses the technique of the first recursively and achieves O(E¿2 √logVloglogV) in communication and O(V¿2√logVloglogV) in time.\",\"PeriodicalId\":296739,\"journal\":{\"name\":\"26th Annual Symposium on Foundations of Computer Science (sfcs 1985)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1985-10-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"54\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"26th Annual Symposium on Foundations of Computer Science (sfcs 1985)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SFCS.1985.20\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"26th Annual Symposium on Foundations of Computer Science (sfcs 1985)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SFCS.1985.20","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper develops a new distributed BFS algorithm for an asynchronous communication network. This paper presents two new BFS algorithms with improved communication complexity. The first algorithm has complexity O((E+V1.5)¿logV) in communication and O(V1.5¿logV) in time. The second algorithm uses the technique of the first recursively and achieves O(E¿2 √logVloglogV) in communication and O(V¿2√logVloglogV) in time.