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Conference Paper An Outlier-Based Heavy User Detection and Penalization Algorithm for the Fair Bandwidth Allocation in the Internet
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Authors
Young-Min Kim, Hak-Suh Kim, Hea-Sook Park
Issue Date
2015-01
Citation
International Conference on Electronics, Information and Communication (ICEIC) 2015, pp.645-646
Language
English
Type
Conference Paper
Abstract
The rapid increase of Peer-to-peer (P2P) services causes heavy users to consume much more network resources. In order to detect such heavy users, this paper proposes a new algorithm which considers both the number of bytes and flows concurrently. Especially, the algorithm takes the concept of outliers to detect the heavy users more accurately. Simulation result shows that the proposed algorithm can successfully provide the fair bandwidth allocation to all the users by penalizing the found heavy users under the network congestion.
KSP Keywords
Network resources, Peer-to-Peer(P2P), fair bandwidth allocation, heavy users, network congestion, new algorithm, user detection