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Title: Heterogeneous network policy enforcement in data centers
Authors: Cui, Lin
Tso, Fung Po
Jia, Weijia
Issue Date: 2017
Publisher: © IEEE
Citation: CUI, L., TSO, F.P. and JIA, W., 2017. Heterogeneous network policy enforcement in data centers. IFIP/IEEE International Symposium on Integrated Network Management (IM 2017), Lisbon, Portugal, 8th-12th May 2017, pp. 552-555.
Abstract: With the emergence of network function virtualization, data center start to deploy a variety of network function boxes (NFBs) in both physical and virtual form factors in order to combines inherent efficiency offered by physical NFBs with the agility and flexibility of virtual ones. However, existing schemes are limited to exclusively consider physical or virtual NFBs, which may reduce the performance efficiency of services running atop. In this paper, we propose a Heterogeneous NetwOrk Policy Enforcement scheme (HOPE) to overcome these challenges. An efficient algorithm that can closely approximate optimal latencywise NF service chaining is proposed. The experimental results have also shown that HOPE can outperform greedy algorithm by 25% in terms of network latency and is 56x more efficient than naive depth-first search algorithm.
Description: © 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.
Sponsor: This work is partially supported by Chinese National Research Fund (NSFC) Project No. 61402200; NSFC Key Project No. 61532013; National China 973 Project No. 2015CB352401; the UK Engineering and Physical Sciences Research Council (EPSRC) grants EP/P004407/1 and EP/P004024/1; Shanghai Scientific Innovation Act of STCSM No.15JC1402400 and 985 Project of SJTU with No. WF220103001.
Version: Accepted for publication
DOI: 10.23919/INM.2017.7987327
URI: https://dspace.lboro.ac.uk/2134/24640
Publisher Link: https://doi.org/10.23919/INM.2017.7987327
ISBN: 9783901882890
Appears in Collections:Conference Papers and Presentations (Computer Science)

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