Prompt congestion reaction scheme for data center network using multiple congestion points
With recent advocates on end-to-end congestion control, we still observe lack of consideration of network congestion status in literature. Since end-to-end congestion control mechanisms are capable of gathering path load information through data paths, taking advantage of this information, network s...
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sg-ntu-dr.10356-985592020-05-28T07:18:34Z Prompt congestion reaction scheme for data center network using multiple congestion points Aung, Khin Mi Mi Fang, Shuo Foh, Chuan Heng School of Computer Engineering IEEE International Conference on Communications (2012 : Ottawa, Canada) DRNTU::Engineering::Computer science and engineering With recent advocates on end-to-end congestion control, we still observe lack of consideration of network congestion status in literature. Since end-to-end congestion control mechanisms are capable of gathering path load information through data paths, taking advantage of this information, network systems have potential capacity to react promptly in presence of congestion, especially for paths with multiple congestion points. In this paper, we design a congestion control scheme with consideration of multiple congestion points along data paths. Using an improved ECN mechanism, our scheme tunes source rate with feedbacks collecting from ECNs. We further improve our scheme with saturation detection and congestion prediction mechanisms. Simulation results show that our scheme works effectively. We evaluate our scheme and compare it with DCTCP, a recently proposed congestion control scheme for data center. In scenarios of multiple congestion points, our scheme exhibits better performance in terms of reaction time and stability. 2013-09-09T07:59:53Z 2019-12-06T19:56:52Z 2013-09-09T07:59:53Z 2019-12-06T19:56:52Z 2012 2012 Conference Paper https://hdl.handle.net/10356/98559 http://hdl.handle.net/10220/13423 10.1109/ICC.2012.6364295 en © 2012 IEEE |
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DRNTU::Engineering::Computer science and engineering Aung, Khin Mi Mi Fang, Shuo Foh, Chuan Heng Prompt congestion reaction scheme for data center network using multiple congestion points |
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With recent advocates on end-to-end congestion control, we still observe lack of consideration of network congestion status in literature. Since end-to-end congestion control mechanisms are capable of gathering path load information through data paths, taking advantage of this information, network systems have potential capacity to react promptly in presence of congestion, especially for paths with multiple congestion points. In this paper, we design a congestion control scheme with consideration of multiple congestion points along data paths. Using an improved ECN mechanism, our scheme tunes source rate with feedbacks collecting from ECNs. We further improve our scheme with saturation detection and congestion prediction mechanisms. Simulation results show that our scheme works effectively. We evaluate our scheme and compare it with DCTCP, a recently proposed congestion control scheme for data center. In scenarios of multiple congestion points, our scheme exhibits better performance in terms of reaction time and stability. |
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School of Computer Engineering |
author_facet |
School of Computer Engineering Aung, Khin Mi Mi Fang, Shuo Foh, Chuan Heng |
format |
Conference or Workshop Item |
author |
Aung, Khin Mi Mi Fang, Shuo Foh, Chuan Heng |
author_sort |
Aung, Khin Mi Mi |
title |
Prompt congestion reaction scheme for data center network using multiple congestion points |
title_short |
Prompt congestion reaction scheme for data center network using multiple congestion points |
title_full |
Prompt congestion reaction scheme for data center network using multiple congestion points |
title_fullStr |
Prompt congestion reaction scheme for data center network using multiple congestion points |
title_full_unstemmed |
Prompt congestion reaction scheme for data center network using multiple congestion points |
title_sort |
prompt congestion reaction scheme for data center network using multiple congestion points |
publishDate |
2013 |
url |
https://hdl.handle.net/10356/98559 http://hdl.handle.net/10220/13423 |
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1681057921525350400 |