{"title":"分布式图算法及其复杂性简介","authors":"Taisuke Izumi","doi":"10.4036/IIS.2015.L.04","DOIUrl":null,"url":null,"abstract":"Distributed graph algorithms are the methods for solving graph problems defined over networks of computers, where each vertex is a computing entity (i.e., process) and an edge is a communication link between two processes. This introductory survey presents a brief outline, several important concepts, and the fundamental complexity study of distributed graph algorithms. For a number of standard problems such as the shortest path and the coloring, we spotlight their inherent difficulties and challenges.","PeriodicalId":91087,"journal":{"name":"Interdisciplinary information sciences","volume":"21 1","pages":"351-370"},"PeriodicalIF":0.0000,"publicationDate":"2015-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4036/IIS.2015.L.04","citationCount":"0","resultStr":"{\"title\":\"Distributed Graph Algorithms and their Complexity: An Introduction\",\"authors\":\"Taisuke Izumi\",\"doi\":\"10.4036/IIS.2015.L.04\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Distributed graph algorithms are the methods for solving graph problems defined over networks of computers, where each vertex is a computing entity (i.e., process) and an edge is a communication link between two processes. This introductory survey presents a brief outline, several important concepts, and the fundamental complexity study of distributed graph algorithms. For a number of standard problems such as the shortest path and the coloring, we spotlight their inherent difficulties and challenges.\",\"PeriodicalId\":91087,\"journal\":{\"name\":\"Interdisciplinary information sciences\",\"volume\":\"21 1\",\"pages\":\"351-370\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-04-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.4036/IIS.2015.L.04\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Interdisciplinary information sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4036/IIS.2015.L.04\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Interdisciplinary information sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4036/IIS.2015.L.04","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Distributed Graph Algorithms and their Complexity: An Introduction
Distributed graph algorithms are the methods for solving graph problems defined over networks of computers, where each vertex is a computing entity (i.e., process) and an edge is a communication link between two processes. This introductory survey presents a brief outline, several important concepts, and the fundamental complexity study of distributed graph algorithms. For a number of standard problems such as the shortest path and the coloring, we spotlight their inherent difficulties and challenges.