Energy-Efficient Multi-Job Scheduling Model for Cloud Computing and Its Genetic Algorithm

Joint Authors

Wang, Yuping
Wang, Xiaoli
Zhu, Hai

Source

Mathematical Problems in Engineering

Issue

Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-16, 16 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2012-02-08

Country of Publication

Egypt

No. of Pages

16

Main Subjects

Civil Engineering

Abstract EN

For the problem that the energy efficiency of the cloud computing data center is low, from the point of view of the energy efficiency of the servers, we propose a new energy-efficient multi-job scheduling model based on Google’s massive data processing framework.

To solve this model, we design a practical encoding and decoding method for the individuals and construct an overall energy efficiency function of the servers as the fitness value of each individual.

Meanwhile, in order to accelerate the convergent speed of our algorithm and enhance its searching ability, a local search operator is introduced.

Finally, the experiments show that the proposed algorithm is effective and efficient.

American Psychological Association (APA)

Wang, Xiaoli& Wang, Yuping& Zhu, Hai. 2012. Energy-Efficient Multi-Job Scheduling Model for Cloud Computing and Its Genetic Algorithm. Mathematical Problems in Engineering،Vol. 2012, no. 2012, pp.1-16.
https://search.emarefa.net/detail/BIM-1029632

Modern Language Association (MLA)

Wang, Xiaoli…[et al.]. Energy-Efficient Multi-Job Scheduling Model for Cloud Computing and Its Genetic Algorithm. Mathematical Problems in Engineering No. 2012 (2012), pp.1-16.
https://search.emarefa.net/detail/BIM-1029632

American Medical Association (AMA)

Wang, Xiaoli& Wang, Yuping& Zhu, Hai. Energy-Efficient Multi-Job Scheduling Model for Cloud Computing and Its Genetic Algorithm. Mathematical Problems in Engineering. 2012. Vol. 2012, no. 2012, pp.1-16.
https://search.emarefa.net/detail/BIM-1029632

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1029632