{"title":"Distributed center location algorithm for fault-tolerant multicast in wide-area networks","authors":"Shahzad Ali, A. Khokhar","doi":"10.1109/RELDIS.1998.740517","DOIUrl":null,"url":null,"abstract":"Group shared trees form a major component of most multicast routing protocols (e.g. PIM-SMv2, CBTv3). The shared trees are built by choosing one node as the center of the tree. The optimal location of a center under the constraints of minimal tree cost and delay for a particular group is an NP-complete problem. Current implementations of protocols decide on the location of these centers administratively, an attractive choice given that the solution is obviously sub-optimal and does not lend itself to dynamic reconfiguration of centers. We present a scalable heuristic to find a near-optimal solution to the center location problem. Our solution is easily amenable to distributed implementation and provides the protocol with a list of possible centers ranked in the order of their optimality, therefore providing fault tolerance and reducing the chances of a single point of failure at the center.","PeriodicalId":376253,"journal":{"name":"Proceedings Seventeenth IEEE Symposium on Reliable Distributed Systems (Cat. No.98CB36281)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Seventeenth IEEE Symposium on Reliable Distributed Systems (Cat. No.98CB36281)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RELDIS.1998.740517","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
Group shared trees form a major component of most multicast routing protocols (e.g. PIM-SMv2, CBTv3). The shared trees are built by choosing one node as the center of the tree. The optimal location of a center under the constraints of minimal tree cost and delay for a particular group is an NP-complete problem. Current implementations of protocols decide on the location of these centers administratively, an attractive choice given that the solution is obviously sub-optimal and does not lend itself to dynamic reconfiguration of centers. We present a scalable heuristic to find a near-optimal solution to the center location problem. Our solution is easily amenable to distributed implementation and provides the protocol with a list of possible centers ranked in the order of their optimality, therefore providing fault tolerance and reducing the chances of a single point of failure at the center.