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2013 Seventh International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS) (2013)
Taichung, Taiwan
July 3, 2013 to July 5, 2013
ISBN: 978-0-7695-4974-3
pp: 591-594
ABSTRACT
The network of traditional data center has been usually designed and constructed for the provision of user's equal access of data centre's resource or data. Therefore, network administrators have a strong tendency to manage user traffic from the viewpoint that the traffic has a similar size and characteristics. But, the emersion of big data begins to make data centers have to deal with 1015 byte-data transfer at once. Such a big data transfer can cause problems in network traffic management in the existed data center. And, the tiered network architecture of the legacy data center magnifies the magnitude of the problems. One of the well-known big data in science is from large hadron collider such as LHC in Swiss CERN. CERN LHC generates multi-peta byte data per year. From our experience of CERN data service, this paper showed the impact of network traffic affected by large-scale data stream using NS2 simulation, and then, suggested the evolution direction based on separating of large-scale data stream for the big data center's network architecture.
INDEX TERMS
future traffic management, Big data traffic, data-centered network, subnetwork evolution, low-end traffic seperation
CITATION

H. W. Park, I. Y. Yeo, J. R. Lee and H. Jang, "Study on Big Data Center Traffic Management Based on the Separation of Large-Scale Data Stream," 2013 Seventh International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), Taichung, Taiwan, 2013, pp. 591-594.
doi:10.1109/IMIS.2013.104
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