scholarly journals A Survey on Dynamic Energy Management at Virtualization Level in Cloud Data Centers

Author(s):  
Veni T ◽  
Mary Saira Bhanu S
2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Shanchen Pang ◽  
Weiguang Zhang ◽  
Tongmao Ma ◽  
Qian Gao

With the wide deployment of cloud computing data centers, the problems of power consumption have become increasingly prominent. The dynamic energy management problem in pursuit of energy-efficiency in cloud data centers is investigated. Specifically, a dynamic energy management system model for cloud data centers is built, and this system is composed of DVS Management Module, Load Balancing Module, and Task Scheduling Module. According to Task Scheduling Module, the scheduling process is analyzed by Stochastic Petri Net, and a task-oriented resource allocation method (LET-ACO) is proposed, which optimizes the running time of the system and the energy consumption by scheduling tasks. Simulation studies confirm the effectiveness of the proposed system model. And the simulation results also show that, compared to ACO, Min-Min, and RR scheduling strategy, the proposed LET-ACO method can save up to 28%, 31%, and 40% energy consumption while meeting performance constraints.


IEEE Access ◽  
2016 ◽  
Vol 4 ◽  
pp. 941-950 ◽  
Author(s):  
Liang Yu ◽  
Tao Jiang ◽  
Yulong Zou

2020 ◽  
Vol 14 (1) ◽  
pp. 1195-1205 ◽  
Author(s):  
Kuljeet Kaur ◽  
Sahil Garg ◽  
Neeraj Kumar ◽  
Gagangeet Singh Aujla ◽  
Kim-Kwang Raymond Choo ◽  
...  

2017 ◽  
Vol 26 (1) ◽  
pp. 113-128
Author(s):  
Gamal Eldin I. Selim ◽  
Mohamed A. El-Rashidy ◽  
Nawal A. El-Fishawy

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