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Flipping the Data Center Network: Increasing East-West Capacity Using Existing Hardware
University West, Department of Engineering Science, Division of Mathematics, Computer and Surveying Engineering.ORCID iD: 0000-0001-9974-7531
University West, Department of Engineering Science, Division of Mathematics, Computer and Surveying Engineering.ORCID iD: 0000-0001-7232-0079
University West, Department of Engineering Science, Division of Mathematics, Computer and Surveying Engineering.ORCID iD: 0000-0003-0589-8086
2017 (English)In: 2017 IEEE 42nd Conference on Local Computer Networks (LCN), 9-12 Oct. 2017, IEEE, 2017, p. 211-214, article id 8109355Conference paper, Published paper (Refereed)
Abstract [en]

In today's datacenters, there is an increasing demand for more network traffic capacity. The majority of the increase in traffic is internal to the datacenter, i.e., it flows between different servers within the datacenter. This category of traffic is often referred to as east-west traffic and traditional hierarchical architectures are not well equipped to handle this type of traffic. Instead, they are better suited for the north-southbound traffic between hosts and the Internet. One suggested solution for this capacity problem is to adopt a folded CLOS topology, also known as spine-leaf, which often relies on software defined network (SDN) controllers to manage traffic. This paper shows that it is possible to implement a spine-leaf network using commodity-ofthe-shelf switches and thus improve the east-west traffic capacity. This can be obtained using low complexity configuration and edgerouting for load balancing, eliminating the need for a centralized SDN controller.

Place, publisher, year, edition, pages
IEEE, 2017. p. 211-214, article id 8109355
Series
IEEE Conference on Local Computer Networks (LCN), E-ISSN 0742-1303
Keywords [en]
Commodity, Datacenter, Clos, Spine-Leaf, East-West Traffic, Network, Core-Distribution-Access, Edge routing, SDN
National Category
Computer Systems
Research subject
ENGINEERING, Computer engineering
Identifiers
URN: urn:nbn:se:hv:diva-12005DOI: 10.1109/LCN.2017.92Scopus ID: 2-s2.0-85040631515ISBN: 978-1-5090-6523-3 (electronic)ISBN: 978-1-5090-6522-6 (electronic)OAI: oai:DiVA.org:hv-12005DiVA, id: diva2:1178167
Conference
42nd IEEE Conference on Local Computer Networks, LCN 2017; Singapore; Singapore; 9 October 2017 through 12 October 2017
Available from: 2018-01-29 Created: 2018-01-29 Last updated: 2018-02-05Bibliographically approved

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Andersson, H. Robert H.De Blanche, AndreasLundqvist, Thomas

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