@inproceedings{aa4f4b97297241fcb1ae6b62a31278df,
title = "Towards a Multi-objective VM Reassignment for Large Decentralised Data Centres",
abstract = "Optimising the IT infrastructure of large, often geographically distributed, organisations goes beyond the classical virtual machine reassignment problem, for two reasons: (i) the data centres of these organisations are composed of a number of hosting departments which have different preferences on what to host and where to host it, (ii) the top-level managers in these data centres make complex decisions and need to manipulate possible solutions favouring different objectives to find the right balance. This challenge has not yet been comprehensively addressed in the literature and in this paper we demonstrate that a multi-objective VM reassignment is feasible for large decentralised data centres. We show on a realistic data set that our solution outperforms other classical multi-objective algorithms for VM reassignment in terms of quantity of solutions (by about 15\% on average) and quality of the solutions set (by over 6\% on average).",
keywords = "Evolutionary Algorithms, Large Decentralised Data centres, Machine Reassignment, Multi-objective Optimisation",
author = "Takfarinas Saber and Anthony Ventresque and Ivona Brandic and James Thorburn and Liam Murphy",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 8th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2015 ; Conference date: 07-12-2015 Through 10-12-2015",
year = "2015",
doi = "10.1109/UCC.2015.21",
language = "English",
series = "Proceedings - 2015 IEEE/ACM 8th International Conference on Utility and Cloud Computing, UCC 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "65--74",
editor = "Omer Rana and Rajkumar Buyya and Ioan Raicu",
booktitle = "Proceedings - 2015 IEEE/ACM 8th International Conference on Utility and Cloud Computing, UCC 2015",
}