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  1. University of Computer Studies, Yangon
  2. Faculty of Computer Systems and Technologies

Statistics Measurement of Network Traffic in Software Defined Networking

http://hdl.handle.net/20.500.12678/0000004540
http://hdl.handle.net/20.500.12678/0000004540
3432bdfc-45f0-4226-b204-21c86be89b79
97a5d43f-6ffa-42cf-921f-7931f76c9a48
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ICSE ICSE 2019 Proceeding.pdf (2698 Kb)
Publication type
Article
Upload type
Publication
Title
Title Statistics Measurement of Network Traffic in Software Defined Networking
Language en
Publication date 2019-12-08
Authors
Mon, Ohnmar Min
Mon, Myat Thida
Description
The recent developments in existing networkinfrastructure need high bandwidth capacity and multiplepaths between high-end switches. Software-DefinedNetworking (SDN) provides QoS for network flows. Statisticsmeasurement is an essential task in traffic engineering.Traditional equal cost multi-path (ECMP) routing used tostatically steer flows among multiple equal-cost paths but itcannot guarantee optimal resource utilization. This static hashcollision can degrade throughput and high latency for theflows. Flow Path Computing algorithm (FPCA) can minimizethe network congestion by rerouting the flows over thealternative paths in SDN. The FPCA algorithm evaluates theexisting flow's demand based on port statistics and theexisting flow is shifted from the congested path to thealternative light loaded path. In this paper, this paper alsotakes a look at statistics measurement in SDN to improve theperformance of HTTP and FTP traffic over ECMP. Theevaluations indicate that FPCA algorithm enforces therequired end to-end QoS for each traffic flow.
Keywords
Software Defined Network, ECMP, QoS, Port statistics, OpenFlow
Identifier 978-9971-0-791-6
Journal articles
Proceedings of 10th International Conference on Science and Engineering 2019, (ICSE 2019)
Conference papers
Books/reports/chapters
Thesis/dissertations
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