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Title: Synergistic policy and virtual machine consolidation in cloud data centers
Authors: Cui, Lin
Cziva, Richard
Tso, Fung Po
Pezaros, Dimitrios P.
Issue Date: 2016
Publisher: © IEEE
Citation: CUI, L. ... et al, 2016. Synergistic policy and virtual machine consolidation in cloud data centers. IN: IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications, San Francisco, CA, USA, 10-14 April 2016.
Abstract: In modern Cloud Data Centers (DC)s, correct implementation of network policies is crucial to provide secure, efficient and high performance services for tenants. It is reported that the inefficient management of network policies accounts for 78% of DC downtime, challenged by the dynamically changing network characteristics and by the effects of dynamic Virtual Machine (VM) consolidation. While there has been significant research in policy and VM management, they have so far been treated as disjoint research problems. In this paper, we explore the simultaneous, dynamic VM and policy consolidation, and formulate the Policy-VM Consolidation (PVC) problem, which is shown to be NP-Hard. We then propose Sync, an efficient and synergistic scheme to jointly consolidate network policies and virtual machines. Extensive evaluation results and a testbed implementation of our controller show that policy and VM migration under Sync significantly reduces flow end-to-end delay by nearly 40%, and network-wide communication cost by 50% within few seconds, while adhering strictly to the requirements of network policies.
Description: © 2016 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 the “Fundamental Research Funds for the Central Universities” No. 21614330, NSFC No. 61402200, the UK Engineering and Physical Sciences Research Council (EPSRC) projects EP/L026015/1 and EP/L005255/1.
Version: Accepted for publication
DOI: 10.1109/INFOCOM.2016.7524354
URI: https://dspace.lboro.ac.uk/2134/34232
Publisher Link: https://doi.org/10.1109/INFOCOM.2016.7524354
ISBN: 9781467399531
Appears in Collections:Conference Papers and Presentations (Computer Science)

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