{"title":"Design and implementation of server cluster dynamic load balancing in virtualization environment based on OpenFlow","authors":"Wenbo Chen, Hui Li, Q. Ma, Zhihao Shang","doi":"10.1145/2619287.2619288","DOIUrl":null,"url":null,"abstract":"This paper mainly studies dynamic load balancing in virtualization environment based on OpenFlow, where the Controller collected the server running status through virtual machine management techniques and calculated the aggregated load of the servers according to dynamic feedback aggregated load balancing scheduling algorithm; the OpenFlow switch will forward a client's request to the server whose aggregated load is the smallest, thus minimizing the transaction response time and maximize the throughput of the server. This method can implement flexible, powerful, easy to use, cost-effective higher load balancing products, and can be more reasonable use of resources to realize more effective load balancing.","PeriodicalId":409750,"journal":{"name":"International Conference of Future Internet","volume":"115 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference of Future Internet","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2619287.2619288","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
This paper mainly studies dynamic load balancing in virtualization environment based on OpenFlow, where the Controller collected the server running status through virtual machine management techniques and calculated the aggregated load of the servers according to dynamic feedback aggregated load balancing scheduling algorithm; the OpenFlow switch will forward a client's request to the server whose aggregated load is the smallest, thus minimizing the transaction response time and maximize the throughput of the server. This method can implement flexible, powerful, easy to use, cost-effective higher load balancing products, and can be more reasonable use of resources to realize more effective load balancing.