Title
Integrating Heuristic and Machine-Learning Methods for Efficient Virtual Machine Allocation in Data Centers.
Abstract
Modern cloud data centers (DCs) need to tackle efficiently the increasing demand for computing resources and address the energy efficiency challenge. Therefore, it is essential to develop resource provisioning policies that are aware of virtual machine (VM) characteristics, such as CPU utilization and data communication, and applicable in dynamic scenarios. Traditional approaches fall short in ter...
Year
DOI
Venue
2018
10.1109/TCAD.2017.2760517
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Keywords
Field
DocType
Servers,Resource management,Energy consumption,Correlation,Data communication,Quality of service
Virtual machine,Computer science,Hyper-heuristic,Real-time computing,Integer programming,Artificial intelligence,Distributed computing,Mathematical optimization,Heuristic,Efficient energy use,Greedy algorithm,Energy consumption,Machine learning,Cloud computing
Journal
Volume
Issue
ISSN
37
8
0278-0070
Citations 
PageRank 
References 
2
0.41
0
Authors
4
Name
Order
Citations
PageRank
ali pahlevan1123.45
Xiaoyu Qu220.41
marina zapater35410.70
D. Atienza418224.26