{"title":"用于新SLA接受的基于约束的路径选择","authors":"S. Krile","doi":"10.1109/TIC.2003.1249091","DOIUrl":null,"url":null,"abstract":"We need very effective traffic engineering tools to obtain quantitative end-to-end QoS guarantees in the DiffServ/MPLS network architecture, especially for dynamic service invocation. Through a negotiation process, the network operator (ISP) has to check if the new SLA can be accepted because of limited capacity resources on the path and existing traffic demands. For end-to-end congestion control with N quality of service levels (classes), an efficient heuristic algorithm is developed. For constraint-based path selection, an effective algorithm of the BFH type is used. The heuristic algorithm is compared with an algorithm based on an exact approach. In all numerical test-examples, the best possible result is achieved, but with significant computation savings.","PeriodicalId":177770,"journal":{"name":"SympoTIC'03. Joint 1st Workshop on Mobile Future and Symposium on Trends in Communications","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Constraint-based path selection for new SLA acceptance\",\"authors\":\"S. Krile\",\"doi\":\"10.1109/TIC.2003.1249091\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We need very effective traffic engineering tools to obtain quantitative end-to-end QoS guarantees in the DiffServ/MPLS network architecture, especially for dynamic service invocation. Through a negotiation process, the network operator (ISP) has to check if the new SLA can be accepted because of limited capacity resources on the path and existing traffic demands. For end-to-end congestion control with N quality of service levels (classes), an efficient heuristic algorithm is developed. For constraint-based path selection, an effective algorithm of the BFH type is used. The heuristic algorithm is compared with an algorithm based on an exact approach. In all numerical test-examples, the best possible result is achieved, but with significant computation savings.\",\"PeriodicalId\":177770,\"journal\":{\"name\":\"SympoTIC'03. Joint 1st Workshop on Mobile Future and Symposium on Trends in Communications\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-12-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SympoTIC'03. Joint 1st Workshop on Mobile Future and Symposium on Trends in Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TIC.2003.1249091\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SympoTIC'03. Joint 1st Workshop on Mobile Future and Symposium on Trends in Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TIC.2003.1249091","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Constraint-based path selection for new SLA acceptance
We need very effective traffic engineering tools to obtain quantitative end-to-end QoS guarantees in the DiffServ/MPLS network architecture, especially for dynamic service invocation. Through a negotiation process, the network operator (ISP) has to check if the new SLA can be accepted because of limited capacity resources on the path and existing traffic demands. For end-to-end congestion control with N quality of service levels (classes), an efficient heuristic algorithm is developed. For constraint-based path selection, an effective algorithm of the BFH type is used. The heuristic algorithm is compared with an algorithm based on an exact approach. In all numerical test-examples, the best possible result is achieved, but with significant computation savings.