Muhammad Afaq, Wang-Cheol Song, Seung-Joon Seok, M. G. Kang
{"title":"sFlow monitoring system in a disaster-resilient global SDN testbed based on KOREN/APII/TEIN network","authors":"Muhammad Afaq, Wang-Cheol Song, Seung-Joon Seok, M. G. Kang","doi":"10.1504/IJCAET.2018.10002607","DOIUrl":null,"url":null,"abstract":"This paper provides insights into the traffic flow monitoring system of a disaster-resilient SDN testbed which is based on Korea Advanced Research Network (KOREN)/Asia Pacific Information Infrastructure (APII)/Trans-Eurasia Information Network (TEIN) network. This testbed consists of research and education networks of several countries including South Korea, Japan, and the USA. Since, it is a large multi-tenant testbed, it is not possible for the traditional traffic monitoring solutions to provide network-wide visibility. Therefore, we have implemented a new sFlow-based monitoring system that is not only tailored to the requirements of this testbed, but can also provide real-time network-wide visibility. It is carried out by deploying open-source host sFlow agents with a graphite collector which offers a complete, highly scalable monitoring solution. It periodically fetches and other statistics from sFlow agents, and stores them in time-series format. These statistics are then exported to the disaster management server where they are used for further analysis.","PeriodicalId":346646,"journal":{"name":"Int. J. Comput. Aided Eng. Technol.","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Comput. Aided Eng. Technol.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJCAET.2018.10002607","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper provides insights into the traffic flow monitoring system of a disaster-resilient SDN testbed which is based on Korea Advanced Research Network (KOREN)/Asia Pacific Information Infrastructure (APII)/Trans-Eurasia Information Network (TEIN) network. This testbed consists of research and education networks of several countries including South Korea, Japan, and the USA. Since, it is a large multi-tenant testbed, it is not possible for the traditional traffic monitoring solutions to provide network-wide visibility. Therefore, we have implemented a new sFlow-based monitoring system that is not only tailored to the requirements of this testbed, but can also provide real-time network-wide visibility. It is carried out by deploying open-source host sFlow agents with a graphite collector which offers a complete, highly scalable monitoring solution. It periodically fetches and other statistics from sFlow agents, and stores them in time-series format. These statistics are then exported to the disaster management server where they are used for further analysis.