DocumentCode
21707
Title
Phase Plane Analysis of Quantized Congestion Notification for Data Center Ethernet
Author
Wanchun Jiang ; Fengyuan Ren ; Chuang Lin
Author_Institution
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
Volume
23
Issue
1
fYear
2015
fDate
Feb. 2015
Firstpage
1
Lastpage
14
Abstract
Currently, Ethernet is being enhanced to become the unified switch fabric in data centers. With the unified switch fabric, the cost on redundant devices is reduced, while the design and management of data center networks are simplified. Congestion management is one of the indispensable enhancements on Ethernet, and Quantized Congestion Notification (QCN) has just been ratified as the formal standard. Though QCN has been investigated for several years, there exist few in-depth theoretical analyses on QCN. The most possible reason is that QCN is heuristically designed and involves the property of variable structure. The classic linear analysis method is incapable of handling the segmented nonlinearity of the variable structure system. In this paper, we use the phase plane method, which is suitable for systems of segmented nonlinearity, to analyze the QCN system. The overall dynamic behaviors of the QCN system are presented, and the sufficient conditions for the stable QCN system are deduced. These sufficient conditions serve as guidelines toward proper parameters setting. Moreover, we find that the stability of QCN is mainly promised by the sliding mode motion, which is the underlying reason for QCN´s stable queue shown in numerous simulations and experiments. Experiments on the NetFPGA platform verify that the analytical results can explain the complex behaviors of QCN.
Keywords
computer centres; computer network management; field programmable gate arrays; local area networks; NetFPGA platform; QCN stability; congestion management; data center ethernet; data center network management; linear analysis method; phase plane analysis; quantized congestion notification; redundant devices; segmented nonlinearity; sliding mode motion; unified switch fabric; variable structure system; Artificial intelligence; Differential equations; Mathematical model; Stability analysis; Standards; Switches; Trajectory; Phase plane analysis; quantized congestion notification; sliding mode motion; stability;
fLanguage
English
Journal_Title
Networking, IEEE/ACM Transactions on
Publisher
ieee
ISSN
1063-6692
Type
jour
DOI
10.1109/TNET.2013.2292851
Filename
6681970
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