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Title
A Green energy-efficient scheduler for cloud data centers
Authors
Keywords
Green computing, Data centers, Scheduling, Cloud computing, Energy consumption
Journal
Cluster Computing-The Journal of Networks Software Tools and Applications
Volume -, Issue -, Pages -
Publisher
Springer Nature
Online
2018-02-28
DOI
10.1007/s10586-018-2028-z
References
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Related references
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- (2018) Fredy Juarez et al. Future Generation Computer Systems-The International Journal of eScience
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- A virtual machine scheduler based on CPU and I/O-bound features for energy-aware in high performance computing clouds
- (2016) Felipe Fernandes et al. COMPUTERS & ELECTRICAL ENGINEERING
- Cost optimization approaches for scientific workflow scheduling in cloud and grid computing: A review, classifications, and open issues
- (2016) Ehab Nabiel Alkhanak et al. JOURNAL OF SYSTEMS AND SOFTWARE
- Adaptive Framework for Reliable Cloud Computing Environment
- (2016) Mohammed Amoon IEEE Access
- Structure-aware online virtual machine consolidation for datacenter energy improvement in cloud computing
- (2015) Sina Esfandiarpoor et al. COMPUTERS & ELECTRICAL ENGINEERING
- Novel heuristics for consolidation of virtual machines in cloud data centers using multi-criteria resource management solutions
- (2015) Ehsan Arianyan et al. JOURNAL OF SUPERCOMPUTING
- Novel resource allocation algorithms to performance and energy efficiency in cloud computing
- (2014) Abbas Horri et al. JOURNAL OF SUPERCOMPUTING
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- (2013) Yongqiang Gao et al. COMPUTERS & ELECTRICAL ENGINEERING
- A green energy-efficient scheduling algorithm using the DVFS technique for cloud datacenters
- (2013) Chia-Ming Wu et al. Future Generation Computer Systems-The International Journal of eScience
- Resource management for Infrastructure as a Service (IaaS) in cloud computing: A survey
- (2013) Sunilkumar S. Manvi et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
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