@inproceedings{f5e4a218909c41eca76d4e1d6c5d43d1,
title = "Release-time aware VM placement",
abstract = "Consolidating virtual machines (VMs) on as few physical machines (PMs) as possible so as to turn into sleep as many PMs as possible can make significant energy savings in cloud centers. Although traditional online bin packing heuristics, such as Best Fit (BF), have been used to reduce the number of active PMs, they share one common limitation; they do not account for VM release times, which can lead to an inefficient usage of energy resources. In this paper, we propose several extensions to the original BF heuristic by accounting for VMs' release times when making VM placement decisions. Our comparative studies conducted on Google traces show that, when compared to existing heuristics, the proposed heuristic reduces energy consumption and enhances utilization of cloud servers.",
keywords = "Cloud computing, Energy efficiency, Google traces, Resource allocation, VM Placement",
author = "Mehiar Dabbagh and Bechir Hamdaoui and Mohsen Guizani and Ammar Rayes",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE Globecom Workshops, GC Wkshps 2014 ; Conference date: 08-12-2014 Through 12-12-2014",
year = "2014",
month = mar,
day = "18",
doi = "10.1109/GLOCOMW.2014.7063417",
language = "English",
series = "2014 IEEE Globecom Workshops, GC Wkshps 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "122--126",
booktitle = "2014 IEEE Globecom Workshops, GC Wkshps 2014",
address = "United States",
}