OFLoad: An OpenFlow-based dynamic load balancing strategy for datacenter networks

Trestian, Ramona ORCID logoORCID: https://orcid.org/0000-0003-3315-3081, Katrinis, Kostas and Muntean, Gabriel-Miro (2017) OFLoad: An OpenFlow-based dynamic load balancing strategy for datacenter networks. IEEE Transactions on Network and Service Management, 14 (4) . pp. 792-803. ISSN 1932-4537 [Article] (doi:10.1109/TNSM.2017.2758402)

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The latest tremendous growth in the Internet traffic has determined the entry into a new era of mega-datacenters, meant to deal with this explosion of data traffic. However this big data with its dynamically changing traffic patterns and flows might result in degradations of the application performance eventually affecting the network operators’ revenue. In this context there is a need for an intelligent and efficient network management system that makes the best use of the available bisection bandwidth abundance to achieve high utilization and performance. This paper proposes OFLoad, an OpenFlow-based dynamic load balancing strategy for datacenter networks that enables the efficient use of the network resources capacity. A real experimental prototype is built and the proposed solution is compared against other solutions from the literature in terms of load-balancing. The aim of OFLoad is to enable the instant configuration of the network by making the best use of the available resources at the lowest cost and complexity.

Item Type: Article
Research Areas: A. > School of Science and Technology > Computer and Communications Engineering
Item ID: 22603
Notes on copyright: © 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.
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Depositing User: Ramona Trestian
Date Deposited: 04 Oct 2017 15:01
Last Modified: 29 Nov 2022 20:22
URI: https://eprints.mdx.ac.uk/id/eprint/22603

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