Title | ||
---|---|---|
Integrating Heuristic and Machine-Learning Methods for Efficient Virtual Machine Allocation in Data Centers. |
Abstract | ||
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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 pahlevan | 1 | 12 | 3.45 |
Xiaoyu Qu | 2 | 2 | 0.41 |
marina zapater | 3 | 54 | 10.70 |
D. Atienza | 4 | 182 | 24.26 |