Monitoring and analyzing big traffic data of a large-scale cellular network with Hadoop

Jun Liu, Feng Liu, Nirwan Ansari

Research output: Contribution to journalArticlepeer-review

122 Scopus citations


Network traffic monitoring and analysis is of theoretical and practical significance for optimizing network resource and improving user experience. However, existing solutions, which usually rely on a high-performance server with large storage capacity, are not scalable for detailed analysis of a large volume of traffic data. In this article, we present a traffic monitoring and analysis system for large-scale networks based on Hadoop, an open-source distributed computing platform for big data processing on commodity hardware. This system has been deployed in the core network of a large cellular network and extensively evaluated. The results demonstrate that the system can efficiently processes 4.2 Tbytes of traffic data from 123 Gb/s links with high performance and low cost every day.

Original languageEnglish (US)
Article number6863129
Pages (from-to)32-39
Number of pages8
JournalIEEE Network
Issue number4
StatePublished - 2014

All Science Journal Classification (ASJC) codes

  • Software
  • Information Systems
  • Hardware and Architecture
  • Computer Networks and Communications


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