Hassen, F and Mhamdi, L (2017) High-radix Packet-Switching Architecture for Data Center Networks. In: 2017 IEEE 18th International Conference on High Performance Switching and Routing (HPSR). 18th International Conference on High Performance Switching and Routing (HPSR), 18-21 Jun 2017, Campinas, Brazil. IEEE ISBN 978-1-5090-2839-9
Abstract
We propose a highly scalable packet-switching architecture that suits for demanding Data center Networks (DCNs). The design falls into the category of buffered multistage switches. It affiliates a three-stage Clos-network and the Networks-on-Chip (NoC) paradigm. We also suggest a congestion-aware routing algorithm that shares the traffic load among the switch's central modules via interleaved connecting links. Unlike conventional switches, the current proposal provides better path diversity, simple scheduling, speedup and robustness to load variation. Simulation results show that the switch is scalable with the portcount and traffic fluctuation, and that it outperforms different switches under many traffic patterns.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 IEEE. 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. |
Keywords: | Data Center Networks switching fabric; Clos-network; Multi-Directional NoCs; Packets 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) |
Funding Information: | Funder Grant number EU - European Union 322250 |
Depositing User: | Symplectic Publications |
Date Deposited: | 14 Jun 2017 10:35 |
Last Modified: | 20 Jan 2018 20:17 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/HPSR.2017.7968672 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:117700 |