{"title":"OpenFlow网络中控制平面的性能与可靠性","authors":"Zhihao Shang","doi":"10.1109/ISSREW.2019.00054","DOIUrl":null,"url":null,"abstract":"OpenFlow is an innovative approach to manage networks. It separates the control plane out of forwarding devices and uses a centralized controller to manipulate all the forwarding devices. The separation offers many benefits in terms of network flexibility and management. However, these benefits come with a performance penalty. Since the controller manipulates all the forwarding devices, the performance of the controller impacts the performance of the whole network. In addition, the controller is a single point failure of an OpenFlow network. I investigate the performance and dependability of OpenFlow controllers during my PhD. I implement a benchmark tool for OpenFlow controllers to fit the response time of an OpenFlow controller into a PH (PHase-type) distribution. Based on the distribution of response time, I can build queueing models for multiple controllers in an OpenFlow network. Based on the queueing models, the parameters that can minimize the response time of the controllers will be determined. I also use a stochastic model to evaluate the dependability of multiple controllers.","PeriodicalId":166239,"journal":{"name":"2019 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The Performance and Dependability of Control Plane in OpenFlow Networks\",\"authors\":\"Zhihao Shang\",\"doi\":\"10.1109/ISSREW.2019.00054\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"OpenFlow is an innovative approach to manage networks. It separates the control plane out of forwarding devices and uses a centralized controller to manipulate all the forwarding devices. The separation offers many benefits in terms of network flexibility and management. However, these benefits come with a performance penalty. Since the controller manipulates all the forwarding devices, the performance of the controller impacts the performance of the whole network. In addition, the controller is a single point failure of an OpenFlow network. I investigate the performance and dependability of OpenFlow controllers during my PhD. I implement a benchmark tool for OpenFlow controllers to fit the response time of an OpenFlow controller into a PH (PHase-type) distribution. Based on the distribution of response time, I can build queueing models for multiple controllers in an OpenFlow network. Based on the queueing models, the parameters that can minimize the response time of the controllers will be determined. I also use a stochastic model to evaluate the dependability of multiple controllers.\",\"PeriodicalId\":166239,\"journal\":{\"name\":\"2019 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSREW.2019.00054\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSREW.2019.00054","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Performance and Dependability of Control Plane in OpenFlow Networks
OpenFlow is an innovative approach to manage networks. It separates the control plane out of forwarding devices and uses a centralized controller to manipulate all the forwarding devices. The separation offers many benefits in terms of network flexibility and management. However, these benefits come with a performance penalty. Since the controller manipulates all the forwarding devices, the performance of the controller impacts the performance of the whole network. In addition, the controller is a single point failure of an OpenFlow network. I investigate the performance and dependability of OpenFlow controllers during my PhD. I implement a benchmark tool for OpenFlow controllers to fit the response time of an OpenFlow controller into a PH (PHase-type) distribution. Based on the distribution of response time, I can build queueing models for multiple controllers in an OpenFlow network. Based on the queueing models, the parameters that can minimize the response time of the controllers will be determined. I also use a stochastic model to evaluate the dependability of multiple controllers.