Synergistic Policy and Virtual Machine Consolidation in Cloud Data Centers

Cui, L., Cziva, R., Tso, F. P. and Pezaros, D. (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, 10-15 Apr 2016, (doi: 10.1109/INFOCOM.2016.7524354)

112944.pdf - Accepted Version



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.

Item Type:Conference Proceedings
Glasgow Author(s) Enlighten ID:Tso, Dr Fung Po and Pezaros, Professor Dimitrios and Cziva, Mr Richard
Authors: Cui, L., Cziva, R., Tso, F. P., and Pezaros, D.
College/School:College of Science and Engineering > School of Computing Science
Copyright Holders:Copyright © 2016 IEEE
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher
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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
643481A Situation-aware information infrastructureDimitrios PezarosEngineering & Physical Sciences Research Council (EPSRC)EP/L026015/1COM - COMPUTING SCIENCE
608831IMC2: Instrumentation, Measurement and Control for the CloudDimitrios PezarosEngineering & Physical Sciences Research Council (EPSRC)EP/L005255/1COM - COMPUTING SCIENCE