sFlow monitoring system in a disaster-resilient global SDN testbed based on KOREN/APII/TEIN network

Muhammad Afaq, Wang Cheol Song*, Seung Joon Seok, M. G. Kang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)404-417
Number of pages14
JournalInternational Journal of Computer Aided Engineering and Technology
Volume10
Issue number4
DOIs
StatePublished - 2018
Externally publishedYes

Bibliographical note

Publisher Copyright:
Copyright © 2018 Inderscience Enterprises Ltd.

Keywords

  • Disaster-resilient network
  • Graphite
  • KOREN
  • Korea Advanced Research Network
  • Monitoring system
  • SDN
  • SFlow
  • Software defined networking

ASJC Scopus subject areas

  • Software
  • General Engineering
  • Computer Science Applications

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