{"title":"Load Analysis In SDN For Distributed Topologies","authors":"G. Raj, Siddhant Sharma, T. Choudhury","doi":"10.1109/ICGCIOT.2018.8753099","DOIUrl":null,"url":null,"abstract":"The advent of internet has led to the formation of a totally digitized environment, where each and everything is constantly in connection & can be easily accessed from anywhere. Traditional IP networks are difficult to understand and manage. Configuring the networks as per the already defined policies & making changes to it to react to issues faced has become difficult. The vertical integration of current networks adds to the difficulties. Software-Defined Network (SDN) is a new paradigm that promises to change and solve the problem. SDN breaks network into traceable pieces, thus making it less demanding to make & present new changes in networking, making network management & network evolution simpler. In SDN, load balancing is a brilliant technology as it can save power & improve the utilization of resources. This research focuses on analyzing the load and data in SDN for various distributed network topologies. Various network emulator and packet tracker tools have been used in the paper for generating statics.","PeriodicalId":269682,"journal":{"name":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICGCIOT.2018.8753099","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The advent of internet has led to the formation of a totally digitized environment, where each and everything is constantly in connection & can be easily accessed from anywhere. Traditional IP networks are difficult to understand and manage. Configuring the networks as per the already defined policies & making changes to it to react to issues faced has become difficult. The vertical integration of current networks adds to the difficulties. Software-Defined Network (SDN) is a new paradigm that promises to change and solve the problem. SDN breaks network into traceable pieces, thus making it less demanding to make & present new changes in networking, making network management & network evolution simpler. In SDN, load balancing is a brilliant technology as it can save power & improve the utilization of resources. This research focuses on analyzing the load and data in SDN for various distributed network topologies. Various network emulator and packet tracker tools have been used in the paper for generating statics.