{"title":"Software-Defined Dynamic Bandwidth Management","authors":"Yao-Chung Chang, Yung-Chiao Chen, Tsung-Hau Chen, Jiann-Liang Chen, Shih-Ping Chiu, Wei-hsiu Chang","doi":"10.23919/ICACT.2019.8702052","DOIUrl":null,"url":null,"abstract":"This work develops a software-defined mechanism for dynamic bandwidth management, abbreviated to SDBM. This proposed SDBM mechanism was realized using the OpenFlow architecture and the OpenWrt platform. The resource allocation procedures and weighting policy were designed using SDN Controller to perform bandwidth management. This mechanism firstly monitors and analyzes networks and the statuses of applications and then, based on the results of the analysis, dynamically reallocates resource with software-defined discipline. Based on our simulation results, bandwidth utilization is improved and packet loss reduced by 12.4% and 8%, respectively.","PeriodicalId":226261,"journal":{"name":"2019 21st International Conference on Advanced Communication Technology (ICACT)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 21st International Conference on Advanced Communication Technology (ICACT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ICACT.2019.8702052","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
This work develops a software-defined mechanism for dynamic bandwidth management, abbreviated to SDBM. This proposed SDBM mechanism was realized using the OpenFlow architecture and the OpenWrt platform. The resource allocation procedures and weighting policy were designed using SDN Controller to perform bandwidth management. This mechanism firstly monitors and analyzes networks and the statuses of applications and then, based on the results of the analysis, dynamically reallocates resource with software-defined discipline. Based on our simulation results, bandwidth utilization is improved and packet loss reduced by 12.4% and 8%, respectively.
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