Hassen, F and Mhamdi, L (2019) A New Paradigm to Build Scalable Packet-Switches for Data Center Networks. In: Proceedings of the 2018 IEEE Global Communications Conference (GLOBECOM). GLOBECOM 2018: IEEE Global Communications Conference, 09-13 Dec 2018, Abu Dhabi, United Arab Emirates. IEEE ISBN 978-1-5386-4727-1
Abstract
This paper presents the design, implementation, and evaluation of a class of packet-switching fabric architectures. Based on the well-investigated three-stage Clos-network, we propose a variety of packet-switches that are constructed by adding the most beneficial Network-on-Chip (NoC) paradigm which offers many distinct and practical advantages. Compared to the conventional crossbar switches, the NoC-based architectures provide better path-diversity, simple packet scheduling and speedup. A gradual design method is adopted to enhance the performance of the NoC switch, and several related issues such as the congestion avoidance, micro level load-balancing, and costeffectiveness are addressed. The NoC switches exhibit a high scalability potential in - both - the port count and traffic volume, making them a good candidate for the next-generation Data Center Networks.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 IEEE. This is an author produced version of a paper published in Proceedings of the 2018 IEEE Global Communications Conference (GLOBECOM). Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Data Center Networks switching fabric; Clos-network; Network-on-Chip; Packet routing; Packet scheduling |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) |
Funding Information: | Funder Grant number EU - European Union 322250 |
Depositing User: | Symplectic Publications |
Date Deposited: | 24 Oct 2018 13:48 |
Last Modified: | 08 May 2019 09:52 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/GLOCOM.2018.8647295 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:137564 |