A power and thermal-aware virtual machine management framework based on machine learning
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Title
A power and thermal-aware virtual machine management framework based on machine learning
Authors
Keywords
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Journal
Cluster Computing
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2021-03-19
DOI
10.1007/s10586-020-03228-6
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- (2017) M. Gschwind et al. IBM JOURNAL OF RESEARCH AND DEVELOPMENT
- Data Center Peak Power Management with Energy Storage Devices
- (2017) Baris Aksanli IEEE INTERNET COMPUTING
- Thermal Time Shifting: Decreasing Data Center Cooling Costs with Phase-Change Materials
- (2017) Matt Skach et al. IEEE INTERNET COMPUTING
- Energy-Efficient Algorithms for Dynamic Virtual Machine Consolidation in Cloud Data Centers
- (2017) Mohammad Ali Khoshkholghi et al. IEEE Access
- Energy aware resource allocation of cloud data center: review and open issues
- (2016) Nasrin Akhter et al. Cluster Computing-The Journal of Networks Software Tools and Applications
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- (2016) Fei Teng et al. JOURNAL OF SUPERCOMPUTING
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- (2016) Sukhpal Singh et al. JOURNAL OF SUPERCOMPUTING
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- Power and Thermal-Aware Workload Allocation in Heterogeneous Data Centers
- (2015) Abdulla M. Al-Qawasmeh et al. IEEE TRANSACTIONS ON COMPUTERS
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- On the Carbon Footprint Optimization in an InterCloud Environment
- (2015) Valerie Danielle Justafort et al. IEEE Transactions on Cloud Computing
- Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing
- (2011) Anton Beloglazov et al. Future Generation Computer Systems-The International Journal of eScience
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