short-paper

A Congestion Control Mechanism for Data Center Networks Based on Named Data Networking

Authors:

Pengfei FanAuthors Info & Claims

CFI 2018: Proceedings of the 13th International Conference on Future Internet Technologies

Article No.: 6, Pages 1 - 6

https://doi.org/10.1145/3226052.3226055

Published: 20 June 2018 Publication History

Abstract

Data center networks have become important infrastructures in cloud computing. TCP Incast is a common challenge for data center networks. Although many researchers have tried to address this issue, there is no optimal solution yet. In this paper, different from current effort in IP networks, we try to mitigate the TCP Incast issue by innovatively adopting a new network architecture-Named Data Networking (NDN). Taking advantage of the receiver-driven transfer model and the in-network caching mechanism of NDN, we propose a novel packet request algorithm which can avoid the congestion and we have implemented the algorithm in ndnSIM. Simulation results show that our algorithm can mitigate the TCP Incast issue effectively.

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Cited By

Yang WQin YYang Z(2020)A Reinforcement Learning Based Data Storage and Traffic Management in Information-Centric Data Center NetworksMobile Networks and Applications10.1007/s11036-020-01629-w27:1(266-275)Online publication date: 30-Jul-2020
https://doi.org/10.1007/s11036-020-01629-w

A Congestion Control Mechanism for Data Center Networks Based on Named Data Networking
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cover image ACM Other conferences

CFI 2018: Proceedings of the 13th International Conference on Future Internet Technologies

June 2018

40 pages

ISBN:9781450364669

DOI:10.1145/3226052

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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AsiaFI: Asia Future Internet
FIF: Future Internet Forum

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New York, NY, United States

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Published: 20 June 2018

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CFI 2018

CFI 2018: The 13th International Conference on Future Internet Technologies

June 20 - 22, 2018

Seoul, Republic of Korea

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Overall Acceptance Rate 29 of 55 submissions, 53%

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Cited By

Yang WQin YYang Z(2020)A Reinforcement Learning Based Data Storage and Traffic Management in Information-Centric Data Center NetworksMobile Networks and Applications10.1007/s11036-020-01629-w27:1(266-275)Online publication date: 30-Jul-2020
https://doi.org/10.1007/s11036-020-01629-w

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