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SDN-based Virtual Machine Management for Cloud Data Centers

Cziva, R and Jouet, S and Tso, FP and Stapleton, D and Pezaros, DP (2016) SDN-based Virtual Machine Management for Cloud Data Centers. IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, PP (99). pp. 388-394. ISSN 1932-4537

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Abstract

Software-Defined Networking (SDN) is an emerging paradigm to logically centralize the network control plane and automate the configuration of individual network elements. At the same time, in Cloud Data Centers (DCs), although network and server resources are collocated and managed by a single administrative entity, disjoint control mechanisms are used for their respective management. In this article, we propose a unified server-network resource management for such converged Information and Communication Technology (ICT) environments. We present a SDN-based orchestration framework for live Virtual Machine (VM) management that exploits temporal network information to migrate VMs and minimize the network-wide communication cost of the resulting traffic dynamics. A prototype implementation is presented, and a Cloud DC testbed is used to evaluate the impact of diverse orchestration algorithms. Our live VM management has been shown to reduce the network-wide communication cost, especially for the high-cost and congestionprone core and aggregation layers of the DC. Our results show an increase in network-wide throughput by over 6 times, as well as over 70% communication cost reduction by migrating less than 50% of the VMs.

Item Type: Article
Additional Information: (c) 2015 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: 1005 Communications Technologies, 0805 Distributed Computing
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Computer Science
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
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Date Deposited: 04 Mar 2016 10:34
Last Modified: 23 Mar 2016 10:59
DOI or Identification number: 10.1109/TNSM.2016.2528220
URI: http://researchonline.ljmu.ac.uk/id/eprint/2925

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