A learning-based approach for virtual machine placement in cloud data centers
Author:
Affiliation:
1. Young Researchers and Elite Club, Qom Branch; Islamic Azad University; Qom Iran
2. Informatics Institute; University of Amsterdam; Amsterdam The Netherlands
3. Faculty of Electrical and Computer Engineering; Qom University of technology; Qom Iran
Publisher
Wiley
Subject
Electrical and Electronic Engineering,Computer Networks and Communications
Reference37 articles.
1. EDLT: an extended DLT to enhance load balancing in cloud computing;Fereydooni;International Journal of Computer Applications,2014
2. Penalty-aware and cost-efficient resource management in cloud data centers;Rahmanian;International Journal of Communication Systems,2017
3. An autonomic approach for resource provisioning of cloud services;Ghobaei-Arani;Cluster Computing,2016
4. Johnson , P. Marker , T. 2009 Data centre energy efficiency product profile. Pitt & Sherry, report to equipment energy efficiency committee (E3) of The Australian Government Department of the Environment, Water , Heritage and the Arts (DEWHA)
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