@inproceedings{585913d35aa644a099ce57588e9c3cfb,
title = "Using decomposition and local search to solve large-scale virtual machine placement problems with disk anti-colocation constraints",
abstract = "This paper addresses the problem of consolidated virtual machine (VM) placement in cloud computing taking into account the disk anti-colocation constraint. For every VM assigned to a physical machine (PM), this constraint imposes that the VM virtual disks should be spread out across the PM physical disks. For scalable solutions, the proposed algorithm combines decomposition method with local search heuristic. The proposed approach outperforms existing approaches in operation cost and in execution time (or convergence time) for large scale instances.",
keywords = "Cloud Computing, Data center, Local search, Resource Management, Virtual Machine Placement",
author = "Ameni Hbaieb and Mahdi Khemakhem and Jemaa, \{Maher Ben\}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 14th IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2017 ; Conference date: 30-10-2017 Through 03-11-2017",
year = "2017",
month = jul,
day = "2",
doi = "10.1109/AICCSA.2017.86",
language = "English",
series = "Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA",
publisher = "IEEE Computer Society",
pages = "688--695",
booktitle = "Proceedings - 2017 IEEE/ACS 14th International Conference on Computer Systems and Applications, AICCSA 2017",
address = "United States",
}