scholarly journals Systematic Review of Energy-efficient Scheduling Techniques in Cloud Computing

2012 ◽  
Vol 52 (15) ◽  
pp. 10-14 ◽  
Author(s):  
Shailesh Deore ◽  
A. N. Patil ◽  
Ruchira Bhargava
Keyword(s):  
Systematic Review ◽  
Cloud Computing ◽  
Energy Efficient ◽  
Energy Efficient Scheduling

scholarly journals THE ADVANTAGE OF GENETIC ALGORITHM IN ENERGY-EFFICIENT SCHEDULING FOR HETEROGENEOUS CLOUD COMPUTING

2016 ◽  
Vol 4 (7) ◽  
pp. 1-9
Author(s):  
Hang Zhou ◽  
Samina Kausar ◽  
Ningning Dong
Keyword(s):  
Genetic Algorithm ◽  
Cloud Computing ◽  
Energy Consumption ◽  
Energy Efficient ◽  
Scheduling Problem ◽  
New Energy ◽  
Heavy Burden ◽  
Heterogeneous Cloud ◽  
Energy Efficient Scheduling ◽  
Computing Infrastructure

Nowadays Energy Consumption has been a heavy burden on the enterprise cloud computing infrastructure. This paper focuses on the hardware factors in energy consumption. Inspired by DVFS, it proposes a new energy-efficient (EE) model. This paper formulates the scheduling problem and genetic algorithm is applied to obtain higher efficiency value. Simulations are implemented to verify the advantage of genetic algorithm. In addition, the robustness of our strategy is validated by modifying the relevant parameters of the experiment.

scholarly journals Wireless-Uplinks-Based Energy-Efficient Scheduling in Mobile Cloud Computing

2015 ◽  
Vol 2015 ◽  
pp. 1-10
Author(s):  
Xing Liu ◽  
Chaowei Yuan ◽  
Zhen Yang ◽  
Enda Peng
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
Energy Efficient ◽  
Mobile Cloud Computing ◽  
Scheduling Algorithm ◽  
Average Energy ◽  
Mobile Internet ◽  
Mobile Cloud ◽  
Average Energy Consumption ◽  
Energy Efficient Scheduling

Mobile cloud computing (MCC) combines cloud computing and mobile internet to improve the computational capabilities of resource-constrained mobile devices (MDs). In MCC, mobile users could not only improve the computational capability of MDs but also save operation consumption by offloading the mobile applications to the cloud. However, MCC faces the problem of energy efficiency because of time-varying channels when the offloading is being executed. In this paper, we address the issue of energy-efficient scheduling for wireless uplink in MCC. By introducing Lyapunov optimization, we first propose a scheduling algorithm that can dynamically choose channel to transmit data based on queue backlog and channel statistics. Then, we show that the proposed scheduling algorithm can make a tradeoff between queue backlog and energy consumption in a channel-aware MCC system. Simulation results show that the proposed scheduling algorithm can reduce the time average energy consumption for offloading compared to the existing algorithm.

AGILE: A terminal energy efficient scheduling method in mobile cloud computing

2015 ◽  
Vol 26 (12) ◽  
pp. 1323-1336 ◽  
Author(s):  
Chao Chen ◽  
Weidong Bao ◽  
Xiaomin Zhu ◽  
Haoran Ji ◽  
Wenhua Xiao ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Energy Efficient ◽  
Mobile Cloud Computing ◽  
Mobile Cloud ◽  
Scheduling Method ◽  
Energy Efficient Scheduling
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