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CaaS: Enabling Congestion Control as a Service to Optimize WAN Data Transfer

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Security and Privacy in Digital Economy (SPDE 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1268))

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Abstract

TCP congestion control is essential for improving performance of data transfer. Traditional TCP congestion control algorithm is designed for the wired network with the assumptive goal of attaing higher throughput as possible for QoE. However, Internet today is constantly evolving and many different network architectures (Cellular network, high BDP network, Wi-Fi network, etc.) coexist for data transfer service. Futhermore, the emerging applications (live video, augmented and virtual reality, Internet-of-Things, etc.) present different requirements (low latency, low packet loss rate, low jitter, etc.) for data transfer service. Unfortunately, operating systems (Windows, MacOS, Android, etc.) today still rigidly stick to the single built-in congestion control algorithm (with Cubic for Linux, MacOS, Android and CTCP for Windows) for all connections, no matter if it is ill-suited for current network condition, or if there are better schemes for use. To tackle above issues, we articulate a vision of providing congestion control as a service to enable: (i) timely deployment of novel congestion control algorithms, (ii) dynamical adaption of congestion control algorithm according to the network condition, (iii) and meeting the diversified QoE preference of applications. We design and implement CaaS in Linux, our preliminary experiment shows the feasibility and benefits of CaaS.

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Author information

Authors and Affiliations

  1. Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, 315211, China

    Jiahua Zhu, Xianliang Jiang, Guang Jin & Penghui Li

Authors
  1. Jiahua Zhu
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  2. Xianliang Jiang
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  3. Guang Jin
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  4. Penghui Li
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Corresponding author

Correspondence to Xianliang Jiang .

Editor information

Editors and Affiliations

  1. University of Technology Sydney, Sydney, NSW, Australia

    Shui Yu

  2. IBM Zurich Research Laboratory, Zurich, Switzerland

    Peter Mueller

  3. Ningbo University, Ningbo, China

    Jiangbo Qian

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Zhu, J., Jiang, X., Jin, G., Li, P. (2020). CaaS: Enabling Congestion Control as a Service to Optimize WAN Data Transfer. In: Yu, S., Mueller, P., Qian, J. (eds) Security and Privacy in Digital Economy. SPDE 2020. Communications in Computer and Information Science, vol 1268. Springer, Singapore. https://doi.org/10.1007/978-981-15-9129-7_6

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  • DOI: https://doi.org/10.1007/978-981-15-9129-7_6

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-9128-0

  • Online ISBN: 978-981-15-9129-7

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