@inbook{d7647b2fb7c345aea22f9f61c9b977a4,
title = "Constraint programming based large neighbourhood search for energy minimisation in data centres",
abstract = "EnergeTIC is a recent industrial research project carried out in Grenoble on optimising energy consumption in data centres. We study the problem formulation proposed by EnergeTIC. The problem focuses on the allocation of virtual machines to servers with time-variable resource demands in data centres in order to minimise energy costs while ensuring service quality. We present a scalable constraint programming-based large neighbourhood search (CP-LNS) method to solving this challenging problem. We present empirical results that demonstrate that the industrial benchmarks can be solved to near optimality using our approach. Our CP-LNS method provides a fast and practical approach for finding high quality solutions for lowering electricity costs in data centres.",
author = "Hadrien Cambazard and Deepak Mehta and Barry O'Sullivan and Helmut Simonis",
year = "2013",
doi = "10.1007/978-3-319-02414-1\_4",
language = "English",
isbn = "9783319024134",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "44--59",
booktitle = "Economics of Grids, Clouds, Systems, and Services - 10th International Conference, GECON 2013, Proceedings",
note = "10th International Conference on the Economics of Grids, Clouds, Systems, and Services, GECON 2013 ; Conference date: 18-09-2013 Through 20-09-2013",
}