NDLI: Performance Evaluation of TCP Congestion Control Algorithms in Data Center Networks

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Performance Evaluation of TCP Congestion Control Algorithms in Data Center Networks

Content Provider	ACM Digital Library
Author	Gangadhar, Siddharth Nguyen, Truc Anh N. Sterbenz, James P. G.
Abstract	TCP congestion control has been known for its crucial role in stabilizing the Internet and preventing congestion collapses. However, with the rapid advancement in networking technologies, resulting in the emergence of challenging network environments such as data center networks (DCNs), the traditional TCP algorithm leads to several impairments. The shortcomings of TCP when deployed in DCNs have motivated the development of multiple new variants, including DCTCP, ICTCP, IA-TCP, and D2TCP, but all of these algorithms exhibit their advantages at the cost of a number of drawbacks in the Global Internet. Motivated by the belief that new innovations need to be established on top of a solid foundation with a thorough understanding of the existing, well-established algorithms, we have been working towards a comprehensive analysis of various conventional TCP algorithms in DCNs and other modern networks. This paper presents our first milestone towards the completion of our comparative study in which we present the results obtained by simulating multiple TCP variants: NewReno, Vegas, HighSpeed, Scalable, Westwood+, BIC, CUBIC, and YeAH using a fat tree architecture. Each protocol is evaluated in terms of queue length, number of dropped packets, average packet delay, and aggregate bandwidth as a percentage of the channel bandwidth.
Starting Page	21
Ending Page	28
Page Count	8
File Format	PDF
ISBN	9781450341813
DOI	10.1145/2935663.2935669
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-06-15
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Tcp Hybrid congestion control Performance evaluation Queue buildup Vegas Loss-based Stcp Outcast Data center Incast Cubic Ns-3 Buffer pressure Future internet Newreno Westwood+ Highspeed Yeah Dekay-based Bic Fat tree
Content Type	Text
Resource Type	Article

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