{"title":"Cayley图拓扑的路由启发式算法","authors":"M. Hitz, T. Mueck","doi":"10.1109/CAIA.1994.323632","DOIUrl":null,"url":null,"abstract":"In general, a routing algorithm has to map virtual paths to sequences of physical data transfer operations. The number of physical transmission steps needed to transfer a particular data volume is proportional to the resulting transmission time. In the context of a corresponding optimization process, the Cayley graph model is used to generate and evaluate a large number of different interconnection topologies. Candidates are further evaluated with respect to fast and efficient routing heuristics using A* traversals. Simulated annealing techniques are used to find accurate traversal heuristics for each candidate. The results justify the application of these techniques to a large extent. In fact, the resulting heuristics provide a significant reduction in the number of expanded search nodes during the path-finding process at run-time.<<ETX>>","PeriodicalId":297396,"journal":{"name":"Proceedings of the Tenth Conference on Artificial Intelligence for Applications","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Routing heuristics for Cayley graph topologies\",\"authors\":\"M. Hitz, T. Mueck\",\"doi\":\"10.1109/CAIA.1994.323632\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In general, a routing algorithm has to map virtual paths to sequences of physical data transfer operations. The number of physical transmission steps needed to transfer a particular data volume is proportional to the resulting transmission time. In the context of a corresponding optimization process, the Cayley graph model is used to generate and evaluate a large number of different interconnection topologies. Candidates are further evaluated with respect to fast and efficient routing heuristics using A* traversals. Simulated annealing techniques are used to find accurate traversal heuristics for each candidate. The results justify the application of these techniques to a large extent. In fact, the resulting heuristics provide a significant reduction in the number of expanded search nodes during the path-finding process at run-time.<<ETX>>\",\"PeriodicalId\":297396,\"journal\":{\"name\":\"Proceedings of the Tenth Conference on Artificial Intelligence for Applications\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Tenth Conference on Artificial Intelligence for Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CAIA.1994.323632\",\"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 Tenth Conference on Artificial Intelligence for Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAIA.1994.323632","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In general, a routing algorithm has to map virtual paths to sequences of physical data transfer operations. The number of physical transmission steps needed to transfer a particular data volume is proportional to the resulting transmission time. In the context of a corresponding optimization process, the Cayley graph model is used to generate and evaluate a large number of different interconnection topologies. Candidates are further evaluated with respect to fast and efficient routing heuristics using A* traversals. Simulated annealing techniques are used to find accurate traversal heuristics for each candidate. The results justify the application of these techniques to a large extent. In fact, the resulting heuristics provide a significant reduction in the number of expanded search nodes during the path-finding process at run-time.<>