{"title":"路由不被任意分割的代价","authors":"Yingjie Bi, A. Tang","doi":"10.1109/ICNP.2017.8117538","DOIUrl":null,"url":null,"abstract":"This paper studies routing performance loss due to traffic split ratio granularity constraints. For any given fineness of traffic splitting capability, we provide upper bounds on the loss of performance. Based on tight convex relaxation, we further develop an efficient approximation algorithm to compute a good routing solution that satisfies given constraints on traffic splitting. The results can be useful for network operators to trade-off between attainable performance and implementation overhead. Some of the mathematical techniques developed here can be of independent interest for studying other similar nonconvex optimization problems.","PeriodicalId":6462,"journal":{"name":"2017 IEEE 25th International Conference on Network Protocols (ICNP)","volume":"12 1","pages":"1-10"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Cost of not arbitrarily splitting in routing\",\"authors\":\"Yingjie Bi, A. Tang\",\"doi\":\"10.1109/ICNP.2017.8117538\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper studies routing performance loss due to traffic split ratio granularity constraints. For any given fineness of traffic splitting capability, we provide upper bounds on the loss of performance. Based on tight convex relaxation, we further develop an efficient approximation algorithm to compute a good routing solution that satisfies given constraints on traffic splitting. The results can be useful for network operators to trade-off between attainable performance and implementation overhead. Some of the mathematical techniques developed here can be of independent interest for studying other similar nonconvex optimization problems.\",\"PeriodicalId\":6462,\"journal\":{\"name\":\"2017 IEEE 25th International Conference on Network Protocols (ICNP)\",\"volume\":\"12 1\",\"pages\":\"1-10\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE 25th International Conference on Network Protocols (ICNP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNP.2017.8117538\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 25th International Conference on Network Protocols (ICNP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNP.2017.8117538","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper studies routing performance loss due to traffic split ratio granularity constraints. For any given fineness of traffic splitting capability, we provide upper bounds on the loss of performance. Based on tight convex relaxation, we further develop an efficient approximation algorithm to compute a good routing solution that satisfies given constraints on traffic splitting. The results can be useful for network operators to trade-off between attainable performance and implementation overhead. Some of the mathematical techniques developed here can be of independent interest for studying other similar nonconvex optimization problems.