A learning automata-based algorithm for energy and SLA efficient consolidation of virtual machines in cloud data centers
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software
Reference18 articles.
1. Novel energy and SLA efficient resource management heuristics for consolidation of virtual machines in cloud data centers;Arianyan;Comput. Electr. Eng.,2015
2. Energy-aware resource allocation heuristics for efficient management of data centers for cloud computing;Beloglazov;Future Gener. Comput. Syst.,2012
3. Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in cloud data centers;Beloglazov;Concur. Comput. Pract. Exp.,2012
4. Structure-aware online virtual machine consolidation for datacenter energy improvement in cloud computing;Esfandiarpoor;Compute. Electr. Eng.,2015
5. SLA-based virtual machine management for heterogeneous workloads in a cloud datacenter;Garg;J. Netw. Comput. Appl.,2014
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2. A Combined Trend Virtual Machine Consolidation Strategy for Cloud Data Centers;IEEE Transactions on Computers;2024-09
3. E2SVM: Electricity-Efficient SLA-aware Virtual Machine Consolidation approach in cloud data centers;PLOS ONE;2024-06-10
4. A learning automata based approach for module placement in fog computing environment;Expert Systems with Applications;2024-03
5. Minimum-Energy Virtual Machine Placement Using Embedded Sensors and Machine Learning;2024
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