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Performance benchmarking of SDN experimental platforms
There is a huge number of SDN experimental
platforms available such as simulators, emulators and actual testbeds, each of them having different performance metrics.
This paper presents a series of performance tests, that can be performed in each of the available platforms, in order to evaluate
and rank them in various performance categories. These tests cover performance categories such as experiment setup/teardown
time, resources needed in the form of CPU and RAM, as well as the fair use and fair share of those resources by the experimental
platform. In addition, ping delay, response failure rate and scalability are also measured. All the performance tests presented
in this paper have been implemented in Mininet emulator in order to evaluate its performance. After the data analysis, the
most noticeable results are (i) response failure increases as the number of links increases, in some cases by 95%, (ii) CPU load balancing is more efficient as the number of nodes increases and (iii) initial ping delay is huge compared to average ping delay, in some cases up to 1725 times larger. Finally, performance results
indicate that Mininet has several scalability issues.
History
School
- Science
Department
- Computer Science
Published in
IEEE NetSoft 2016Citation
ISAIA, P. and GUAN, L., 2016. Performance benchmarking of SDN experimental platforms. Presented at the 2016 IEEE NetSoft Conference and Workshops (NetSoft) , Seoul, Korea, 6-10th. June, pp. 116-120.Publisher
© IEEEVersion
- AM (Accepted Manuscript)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Acceptance date
2016-04-01Publication date
2016Notes
Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Publisher version
Language
- en