Stefano Paris, Apostolos Destounis, L. Maggi, G. Paschos, Jérémie Leguay
{"title":"SDN中流量重配置的动态控制","authors":"Stefano Paris, Apostolos Destounis, L. Maggi, G. Paschos, Jérémie Leguay","doi":"10.1109/INFCOMW.2016.7562169","DOIUrl":null,"url":null,"abstract":"SDN controllers include mechanisms to globally reconfigure the network in order to quickly respond to a changing environment. However, the reconfiguration of the network affects the QoS of data connections. This demo presents an architecture for the SDN controller where a control policy operates on top of an iterative routing solver to dynamically decide whether to reconfigure the network. The control policy tracks the deviation of the network status from the optimal configuration and reconfigures the network only when there is a benefit. The demonstrator permits to compare the evolution of the network according to the decisions of different control policies. Furthermore, operators can simulates future scenarios to support strategic decisions aimed at improving the infrastructure.","PeriodicalId":348177,"journal":{"name":"2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","volume":"44 2","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Dynamic control of flow reconfigurations in SDN\",\"authors\":\"Stefano Paris, Apostolos Destounis, L. Maggi, G. Paschos, Jérémie Leguay\",\"doi\":\"10.1109/INFCOMW.2016.7562169\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"SDN controllers include mechanisms to globally reconfigure the network in order to quickly respond to a changing environment. However, the reconfiguration of the network affects the QoS of data connections. This demo presents an architecture for the SDN controller where a control policy operates on top of an iterative routing solver to dynamically decide whether to reconfigure the network. The control policy tracks the deviation of the network status from the optimal configuration and reconfigures the network only when there is a benefit. The demonstrator permits to compare the evolution of the network according to the decisions of different control policies. Furthermore, operators can simulates future scenarios to support strategic decisions aimed at improving the infrastructure.\",\"PeriodicalId\":348177,\"journal\":{\"name\":\"2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)\",\"volume\":\"44 2\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-04-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INFCOMW.2016.7562169\",\"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 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFCOMW.2016.7562169","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
SDN controllers include mechanisms to globally reconfigure the network in order to quickly respond to a changing environment. However, the reconfiguration of the network affects the QoS of data connections. This demo presents an architecture for the SDN controller where a control policy operates on top of an iterative routing solver to dynamically decide whether to reconfigure the network. The control policy tracks the deviation of the network status from the optimal configuration and reconfigures the network only when there is a benefit. The demonstrator permits to compare the evolution of the network according to the decisions of different control policies. Furthermore, operators can simulates future scenarios to support strategic decisions aimed at improving the infrastructure.