{"title":"基于sdn的数据中心网络动态负载均衡路径优化","authors":"Yuan-Liang Lan, Kuochen Wang, Yi-Huai Hsu","doi":"10.1109/CSNDSP.2016.7573945","DOIUrl":null,"url":null,"abstract":"We propose a Dynamic Load-balanced Path Optimization (DLPO) algorithm which can suit for different SDN-based data center network topologies. The proposed DLPO changes paths of flows during flow transmissions, achieves load balancing among different links, and efficiently resolves the network congestion problem in SDN-based data center networks. We also propose a priority-based flow table updating strategy to ensure that flows of a congested path will be redirected to a light-loaded path as soon as all flow tables of the associated switches in the light-loaded path have been updated successfully so as to avoid packet loss caused by changing paths of flows. The proposed DLPO is composed of two algorithms, which are multi-link DLPO algorithm and single-link DLPO algorithm. The multi-link DLPO algorithm can balance link loads in a network quickly to resolve some congested paths and the single-link DLPO algorithm can reroute flows to avoid using links with large loads to resolve congested paths that the multi-link DLPO algorithm cannot handle. Simulation results show that, compared to LABERIO, the proposed DLPO increases 18.9% and 9.5% of throughput per flow and bandwidth utilization, respectively, in the fat-tree topology, and 24.8% and 8.3% in the fully populated topology, both under a hot-spot traffic pattern.","PeriodicalId":298711,"journal":{"name":"2016 10th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"44","resultStr":"{\"title\":\"Dynamic load-balanced path optimization in SDN-based data center networks\",\"authors\":\"Yuan-Liang Lan, Kuochen Wang, Yi-Huai Hsu\",\"doi\":\"10.1109/CSNDSP.2016.7573945\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a Dynamic Load-balanced Path Optimization (DLPO) algorithm which can suit for different SDN-based data center network topologies. The proposed DLPO changes paths of flows during flow transmissions, achieves load balancing among different links, and efficiently resolves the network congestion problem in SDN-based data center networks. We also propose a priority-based flow table updating strategy to ensure that flows of a congested path will be redirected to a light-loaded path as soon as all flow tables of the associated switches in the light-loaded path have been updated successfully so as to avoid packet loss caused by changing paths of flows. The proposed DLPO is composed of two algorithms, which are multi-link DLPO algorithm and single-link DLPO algorithm. The multi-link DLPO algorithm can balance link loads in a network quickly to resolve some congested paths and the single-link DLPO algorithm can reroute flows to avoid using links with large loads to resolve congested paths that the multi-link DLPO algorithm cannot handle. Simulation results show that, compared to LABERIO, the proposed DLPO increases 18.9% and 9.5% of throughput per flow and bandwidth utilization, respectively, in the fat-tree topology, and 24.8% and 8.3% in the fully populated topology, both under a hot-spot traffic pattern.\",\"PeriodicalId\":298711,\"journal\":{\"name\":\"2016 10th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"44\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 10th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSNDSP.2016.7573945\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 10th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSNDSP.2016.7573945","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Dynamic load-balanced path optimization in SDN-based data center networks
We propose a Dynamic Load-balanced Path Optimization (DLPO) algorithm which can suit for different SDN-based data center network topologies. The proposed DLPO changes paths of flows during flow transmissions, achieves load balancing among different links, and efficiently resolves the network congestion problem in SDN-based data center networks. We also propose a priority-based flow table updating strategy to ensure that flows of a congested path will be redirected to a light-loaded path as soon as all flow tables of the associated switches in the light-loaded path have been updated successfully so as to avoid packet loss caused by changing paths of flows. The proposed DLPO is composed of two algorithms, which are multi-link DLPO algorithm and single-link DLPO algorithm. The multi-link DLPO algorithm can balance link loads in a network quickly to resolve some congested paths and the single-link DLPO algorithm can reroute flows to avoid using links with large loads to resolve congested paths that the multi-link DLPO algorithm cannot handle. Simulation results show that, compared to LABERIO, the proposed DLPO increases 18.9% and 9.5% of throughput per flow and bandwidth utilization, respectively, in the fat-tree topology, and 24.8% and 8.3% in the fully populated topology, both under a hot-spot traffic pattern.