S. Praveen, Pappula Sarala, T. N. S. K. M. Kumar, Siva Ganesh Manuri, V. S. Srinivas, D. Swapna
{"title":"An Adaptive Load Balancing Technique for Multi SDN Controllers","authors":"S. Praveen, Pappula Sarala, T. N. S. K. M. Kumar, Siva Ganesh Manuri, V. S. Srinivas, D. Swapna","doi":"10.1109/ICAISS55157.2022.10010881","DOIUrl":null,"url":null,"abstract":"Software-Defined Networking (SDN) has created distributed controllers to partition the entire network into distinct domains utilizing numerous physically scattered but logically centralized controllers in recent years. SDN enables more flexible network management by separating control and data planes. Multiple controllers improve the scalability and accessibility of a solitary centralized controller, but there is no flexible mechanism for controller load balancing. This study proposes an approach of multiple SDN controllers for dynamic load balancing. The proposed method can automatically transfer the load from the heavy load controller to the light load controller depending on the load condition of each controller. The parameters used in this study to estimate the performance of a dynamic load balancing system are response time, throughput, and resource consumption. Tests with projectors have demonstrated that this system can automatically distribute the load to each controller, saving load balancing time.","PeriodicalId":243784,"journal":{"name":"2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)","volume":"7 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAISS55157.2022.10010881","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
Software-Defined Networking (SDN) has created distributed controllers to partition the entire network into distinct domains utilizing numerous physically scattered but logically centralized controllers in recent years. SDN enables more flexible network management by separating control and data planes. Multiple controllers improve the scalability and accessibility of a solitary centralized controller, but there is no flexible mechanism for controller load balancing. This study proposes an approach of multiple SDN controllers for dynamic load balancing. The proposed method can automatically transfer the load from the heavy load controller to the light load controller depending on the load condition of each controller. The parameters used in this study to estimate the performance of a dynamic load balancing system are response time, throughput, and resource consumption. Tests with projectors have demonstrated that this system can automatically distribute the load to each controller, saving load balancing time.