@article{e20817fb-37b2-4576-af86-e9943584b235,
author = {Sergii Telenyk, Oleksander Rolik, Eduard Zharikov, Yevhenii Serdiuk},
title = {Energy efficient data center resources management using beam search algorithm},
journal = {Technical Transactions},
volume = {2018},
number = {Volume 4 Year 2018 (115)},
year = {2018},
issn = {0011-4561},
pages = {127-138},keywords = {cloud computing; virtualisation; virtual machine consolidation; local beam search},
abstract = {Modern data centres consume large amounts of power resulting in high levels of carbon dioxide emission. The data centre is a virtual environment in which the workload is performed by virtual machines. A widely used technique to decrease data centre power consumption is to consolidate the virtual machines using a minimal number of physical servers. The authors propose a two-stage method to solve the virtual machine consolidation problem in cloud data centres. The proposed method is programmed in C# to evaluate it and to perform modelling using Google cluster-usage traces. The proposed method enables powering off nearly fifty percent of the previously selected physical servers by using an acceptable number of migrations of virtual machines.},
doi = {10.4467/2353737XCT.18.060.8372},
url = {https://ejournals.eu/en/journal/czasopismo-techniczne/article/energy-efficient-data-center-resources-management-using-beam-search-algorithm}
}