Lin, C, Cziva, R, Tso, FP and Pezaros, DP (2016) Synergistic Policy and Virtual Machine Consolidation in Cloud Data Centers. In: 34th IEEE International Conference on Computer Communications . (34th IEEE International Conference on Computer Communications, 10 April 2016 - 14 April 2016, San Francisco).

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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 net- work 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 or Workshop Item (Paper)
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Computer Science & Mathematics
Publisher:	IEEE
Date Deposited:	19 Jan 2016 11:15
Last Modified:	13 Apr 2022 15:14
URI:	https://researchonline.ljmu.ac.uk/id/eprint/2613

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