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ThinkMind // ICN 2019, The Eighteenth International Conference on Networks // View article icn_2019_2_10_30024


Performance Evaluation of MultiPath TCP Congestion Control

Authors:
Toshihiko Kato
Adhikari Diwakar
Ryo Yamamoto
Satoshi Ohzahata
Nobuo Suzuki

Keywords: MPTCP; Congestion Control; Linked Increase Adaptation; TCP Reno; CUBIC TCP

Abstract:
In Multiptah TCP (MPTCP), the congestion control is realized by individual subflows (conventional TCP connections). However, it is required to avoid increasing congestion window too fast resulting from subflows’ increasing their own congestion windows independently. So, a coupled increase scheme of congestion windows, called Linked Increase Adaptation (LIA), is adopted as a standard congestion control algorithm for subflows comprising a MPTCP connection. But this algorithm supposes that TCP connections use Additive Increase and Multiplicative Decrease (AIMD) based congestion control, and if high speed algorithms such as CUBIC TCP are used, the throughput of MPTCP connections might be decreased. This paper analyzes this issue through experiments. Specifically, this paper examines two experiments; one is to apply one of LIA, TCP Reno and CUBIC TCP to MPTCP flow, and another is to compare LIA based MPTCP flow and a single TCP flow with TCP Reno or CUBIC TCP. These experiments show that LIA is conservative compared with TCP Reno and CUBIC TCP.

Pages: 19 to 24

Copyright: Copyright (c) IARIA, 2019

Publication date: March 24, 2019

Published in: conference

ISSN: 2308-4413

ISBN: 978-1-61208-695-8

Location: Valencia, Spain

Dates: from March 24, 2019 to March 28, 2019

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