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Lee, Kyunghan
Mobile Systems and Networking Lab. (MSN)
Research Interests
  • Low-latency network, cloud computing, 5G network, mobile machine learning

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DRWA: A Receiver-centric Solution to Bufferbloat in Cellular Networks

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Title
DRWA: A Receiver-centric Solution to Bufferbloat in Cellular Networks
Author
Jiang, HaiqingWang, YaogongLee, KyunghanRhee, Injong
Issue Date
2016-11
Publisher
IEEE COMPUTER SOC
Citation
IEEE TRANSACTIONS ON MOBILE COMPUTING, v.15, no.11, pp.2719 - 2734
Abstract
The problem of overbuffering in the current Internet (termed as bufferbloat) has drawn the attention of the research community in recent years. Cellular networks keep large buffers at base stations to smooth out the bursty data traffic over the time-varying channels and are hence apt to bufferbloat. However, despite their growing importance due to the boom of smart phones, we still lack a comprehensive study of bufferbloat in cellular networks and its impact on TCP performance. In this paper, we conducted extensive measurement of the 3G/4G networks of the four major U.S. carriers and the largest carrier in Korea. We revealed the severity of bufferbloat in current cellular networks and discovered some ad-hoc tricks adopted by smart phone vendors, which mitigate the impact of bufferbloat but result in performance degradation under various practical scenarios. To address the problem, we propose DRWA (dynamic receiver window adjustment) that requires slight TCP modification only in smart phones, thus guarantees quick deployment via over-theair (OTA) updates. Our extensive real-world tests confirm that DRWA reduces the latency of TCP flows by 25% 49% and increase TCP throughput by up to 51% in certain scenarios. It is further verified that DRWA has significant effect on the latency of VoIP traffic and on the traffic going through TCP split scenarios with PEP (Performance Enhancing Proxy).
URI
https://scholarworks.unist.ac.kr/handle/201301/17983
URL
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7368189
DOI
10.1109/TMC.2015.2510641
ISSN
1536-1233
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