Abstract
Along the trend of ever increasing Internet traffic, flows that occupy network bandwidth heavily over long period of time become serious threats. Elephant Flows, the nickname for these flows, have critical impact to network performance in terms of both delivery time and fairness. They raise complicated issues for management of Internet traffic and services. Identifying these flows efficiently in core network has been an important problem. The Least Recently Used (LRU) and the Landmark LRU schemes are two of the most efficient methods exist. We propose a cache update algorithm, to further improve the Landmark LRU scheme. The proposed scheme improves the accuracy of detecting elephant flow while maintaining efficiency of Landmark LRU. We verify our algorithm by analysis and simulation on wireless network traces captured on university environments.
This research was supported by a Research Grant from Sangmyung University.
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RFC 3917. http://www.ietf.org/rfc/rfc3917.txt
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© 2013 Springer Science+Business Media Dordrecht
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Choi, Y., Joung, J. (2013). A Novel Algorithm for Detection of Elephant Flows: Landmark-LRU with Recycle. In: Jung, HK., Kim, J., Sahama, T., Yang, CH. (eds) Future Information Communication Technology and Applications. Lecture Notes in Electrical Engineering, vol 235. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6516-0_18
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DOI: https://doi.org/10.1007/978-94-007-6516-0_18
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