@inproceedings{2b48a8aa836449dd95137421fd2d8a8c,
title = "Efficient datacenter resource utilization through cloud resource overcommitment",
abstract = "We propose an efficient resource allocation framework for overcommitted clouds that makes great energy savings by 1) minimizing PM overloads via resource usage prediction, and 2) reducing the number of active PMs via efficient VM placement and migration. Using real Google traces collected from a cluster containing more than 12K PMs, we show that our proposed techniques outperform existing ones by minimizing migration overhead, increasing resource utilization, and reducing energy consumption.",
keywords = "Energy efficiency, VM migration, cloud computing, workload prediction",
author = "Mehiar Dabbagh and Bechir Hamdaoui and Mohsen Guizani and Ammar Rayes",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2015 ; Conference date: 26-04-2015 Through 01-05-2015",
year = "2015",
month = aug,
day = "4",
doi = "10.1109/INFCOMW.2015.7179406",
language = "English",
series = "Proceedings - IEEE INFOCOM",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "330--335",
booktitle = "2015 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2015",
address = "United States",
}