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

Addresses: Department of Computer Engineering, Network Convergence Lab, Jeju National University, Jeju, South Korea ' Department of Computer Engineering, Network Convergence Lab, Jeju National University, Jeju, South Korea ' Department of Computer Engineering, Kyungnam University, South Korea ' Division of Information and Telecommunication Engineering, Hanshin University, Osan, South Korea

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.

Keywords: sFlow; monitoring system; software defined networking; SDN; Korea Advanced Research Network; KOREN; disaster-resilient network; graphite.

DOI: 10.1504/IJCAET.2018.092836

International Journal of Computer Aided Engineering and Technology, 2018 Vol.10 No.4, pp.404 - 417

Available online: 13 Apr 2018 *

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