Optimal VM placement in data centres with architectural and resource constraints Zeng, Deze, Guo, Song, Huang, Huawei, Yu, Shui and Leung,Victor C.M. 2015, Optimal VM placement in data centres with architectural and resource constraints, International journal of autonomous and adaptive communications systems, vol. 8, no. 4, pp. 392-406, doi: 10.1504/IJAACS.2015.073187. Attached Files Name Description MIMEType Size Downloads yu-optimalvm-2015.pdf Published version application/pdf 467.03KB 167 Title Optimal VM placement in data centres with architectural and resource constraints Author(s) Zeng, Deze Guo, Song Huang, Huawei Yu, Shui orcid.org/0000-0003-4485-6743 Leung,Victor C.M. Journal name International journal of autonomous and adaptive communications systems Volume number 8 Issue number 4 Start page 392 End page 406 Total pages 15 Publisher Inderscience Publishers Place of publication Olney, Eng. Publication date 2015 ISSN 1754-8632 1754-8640 Summary Recent advance in virtualisation technology enables service provisioning in a flexible way by consolidating several virtual machines (VMs) into a single physical machine (PM). The inter-VM communications are inevitable when a group of VMs in a data centre provide services in a collaborative manner. With the increasing demands of such intra-data-centre traffics, it becomes essential to study the VM-to-PM placement such that the aggregated communication cost within a data centre is minimised. Such optimisation problem is proved NP-hard and formulated as an integer programming with quadratic constraints in this paper. Different from existing work, our formulation takes into consideration of data-centre architecture, inter-VM traffic pattern, and resource capacity of PMs. Furthermore, a heuristic algorithm is proposed and its high efficiency is extensively validated. Language eng DOI 10.1504/IJAACS.2015.073187 Field of Research 080109 Pattern Recognition and Data Mining 0805 Distributed Computing 1702 Cognitive Science Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category C1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2015, Inderscience Publishers Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30083521 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Open Access Collection Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Wed, 18 May 2016, 08:56:47 EST Wed, 18 May 2016, 08:57:43 EST Wed, 18 May 2016, 09:11:58 EST Fri, 16 Dec 2016, 15:54:55 EST Wed, 06 Dec 2017, 10:41:05 EST Fri, 07 Sep 2018, 17:45:41 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 1 times in Scopus Search Google Scholar Access Statistics: 236 Abstract Views, 167 File Downloads  -  Detailed Statistics Created: Wed, 18 May 2016, 08:56:47 EST

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