A Review on Energy Efficient Resource Management Strategies for Cloud

2017 ◽  
pp. 3-15 ◽  
Author(s):  
Srimoyee Bhattacherjee ◽  
Sunirmal Khatua ◽  
Sarbani Roy
Keyword(s):  
Resource Management ◽  
Energy Efficient ◽  
Management Strategies ◽  
Efficient Resource

scholarly journals A Cluster-Based Energy-Efficient Resource Management Scheme With QoS Requirement for Ultra-Dense Networks

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 182412-182421
Author(s):  
Yanzan Sun ◽  
Ge Guo ◽  
Shunqing Zhang ◽  
Shugong Xu ◽  
Tao Wang ◽  
...  
Keyword(s):  
Resource Management ◽  
Energy Efficient ◽  
Dense Networks ◽  
Management Scheme ◽  
Efficient Resource ◽  
Qos Requirement

scholarly journals Deep-Reinforcement-Learning-Based Energy-Efficient Resource Management for Social and Cognitive Internet of Things

2020 ◽  
Vol 7 (6) ◽  
pp. 5677-5689 ◽  
Author(s):  
Helin Yang ◽  
Wen-De Zhong ◽  
Chen Chen ◽  
Arokiaswami Alphones ◽  
Xianzhong Xie
Keyword(s):  
Reinforcement Learning ◽  
Resource Management ◽  
Internet Of Things ◽  
Energy Efficient ◽  
Efficient Resource ◽  
Cognitive Internet Of Things

scholarly journals A Novel Energy Efficient Resource Management System in Cloud Computing Environment.

2018 ◽  
Vol 7 (4.19) ◽  
pp. 1030
Author(s):  
S. K. Sonkar ◽  
M. U.Kharat
Keyword(s):  
Resource Allocation ◽  
Energy Consumption ◽  
Resource Management ◽  
Virtual Machine ◽  
Energy Efficient ◽  
Service Providers ◽  
Optimization Techniques ◽  
Cloud Provider ◽  
Efficient Resource ◽  
Machine Allocation

Primary target of cloud provider is to provide the maximum resource utilization and increase the revenue by reducing energy consumption and operative cost. In the service providers point of view, resource allocation, resource sharing, migration of resources on demand, memory management, storage management, load balancing, energy efficient resource usage, computational complexity handling in virtualization are some of the major tasks that has to be dealt with. The major issue focused in this paper is to reduce the energy consumption problem and management of computation capacity utilization.  For the same, an energy efficient resource management method is proposed to grip the resource scheduling and to minimize the energy utilized by the cloud datacenters for the computational work. Here a novel resource allocation mechanism is proposed, based on the optimization techniques. Also a novel dynamic virtual machine (VM) allocation method is suggested to help dynamic virtual machine allocation and job rescheduling to improve the consolidation of resources to execute the jobs. Experimental results indicated that proposed strategy outperforms as compared to the existing systems.  

scholarly journals A Cluster-Based Energy-Efficient Resource Management Scheme for Ultra-Dense Networks

IEEE Access ◽  
2016 ◽  
Vol 4 ◽  
pp. 6823-6832 ◽  
Author(s):  
Liang Liang ◽  
Wen Wang ◽  
Yunjian Jia ◽  
Shu Fu
Keyword(s):  
Resource Management ◽  
Energy Efficient ◽  
Dense Networks ◽  
Management Scheme ◽  
Efficient Resource
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