doi: 10.4304/jsw.9.4.895-901
Resource Scheduling Optimization Algorithm of Energy Consumption for Cloud Computing Based on Task Tolerance
- Department of Computer Science and Technology, Harbin Institution of Technology, Harbin, China
Abstract
In order to solve that the energy was seriously wasted in cloud computing, an algorithm of energy consumption optimization for cloud computing based on the task tolerance (ECCT) was proposed. The concept of the task tolerance was put forward in the algorithm. The resource utilization of cloud computing node was maximized through increasing the task tolerance. At the same time, the parallelism degree of tasks were increased so that the task waiting time was reduced, which led to a reduction of energy consumption in cloud computing. Parameters were estimated and experiments on actual cloud computing sets were illustrated. The results showed that the total energy consumption and executive time were reduced more in the proposed algorithm than sequential executive algorithm (SEA). In addition, the advantage would be increasingly apparent with the increasing in assignments.1
Keywords
- cloud computing
- task tolerance
- resourc
How to Cite
Liang Hao, Gang Cui, Mingcheng Qu, and Wende Ke, "Resource Scheduling Optimization Algorithm of Energy Consumption for Cloud Computing Based on Task Tolerance," Journal of Software, vol. 9, no. 4, pp. 895-901, 2014. https://doi.org/ 10.4304/jsw.9.4.895-901
Copyright & License
Copyright © 2014 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).