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PLAN: Joint Policy- and Network-Aware VM Management for Cloud Data Centers

Cui, L, Tso, FP, Pezaros, DP, Jia, W and Zhao, W (2016) PLAN: Joint Policy- and Network-Aware VM Management for Cloud Data Centers. IEEE Transactions on Parallel and Distributed Systems, 28 (4). pp. 1163-1175. ISSN 1045-9219

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Policies play an important role in network configuration and therefore in offering secure and high performance services
especially over multi-tenant Cloud Data Center (DC)environments. At the same time, elastic resource provisioning through virtualization often disregards policy requirements, assuming that the policy implementation is handled by the underlying network infrastructure. This can result in policy violations, performance degradation and security vulnerabilities. In this paper, we define PLAN,
a PoLicy-Aware and Network-aware VM management scheme to jointly consider DC communication cost reduction through Virtual Machine (VM) migration while meeting network policy requirements. We show that the problem is NP-hard and derive an efficient approximate algorithm to reduce communication cost while adhering to policy constraints. Through extensive evaluation, we show that PLAN can reduce topology-wide communication cost by 38% over diverse aggregate traffic and configuration policies.

Item Type: Article
Additional Information: (c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works.
Uncontrolled Keywords: 0805 Distributed Computing, 0803 Computer Software
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Computer Science & Mathematics
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
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Date Deposited: 30 Aug 2016 11:24
Last Modified: 04 Sep 2021 12:35
DOI or ID number: 10.1109/TPDS.2016.2604811
URI: https://researchonline.ljmu.ac.uk/id/eprint/4060
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