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New Index
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Item
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Statistics Measurement of Network Traffic in Software Defined Networking
http://hdl.handle.net/20.500.12678/0000004540
http://hdl.handle.net/20.500.12678/00000045403432bdfc-45f0-4226-b204-21c86be89b79
97a5d43f-6ffa-42cf-921f-7931f76c9a48
Name / File | License | Actions |
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Publication type | ||||||
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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 |