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Performance Analysis of Genetic Algorithm in Different Cloud Computing Environments


Affiliations
1 Department of Computer Science and Engineering, Sri Guru Granth Sahib World University, Fatehgarh Sahib, Punjab, India
 

Cloud Computing is the inevitable emerging technology which thrives on managing the services to users in an effective manner. Providing those services requires an optimal solution for scheduling tasks to the resources within time bound. Genetic Algorithm (GA) is one of the scheduling algorithm which is based on evolutionary concept has been extensively studied in literature. In this paper, the performance of the Efficient Genetic Algorithm (EGA) is evaluated in different cloud computing environments. A comparison analysis revealed that EGA is more effective in heterogeneous environment as compared to homogeneous environment.

Keywords

Genetic Algorithm, Scheduling, Cloud Environment.
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  • Performance Analysis of Genetic Algorithm in Different Cloud Computing Environments

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Authors

Navpreet Kaur Walia
Department of Computer Science and Engineering, Sri Guru Granth Sahib World University, Fatehgarh Sahib, Punjab, India
Navdeep Kaur
Department of Computer Science and Engineering, Sri Guru Granth Sahib World University, Fatehgarh Sahib, Punjab, India

Abstract


Cloud Computing is the inevitable emerging technology which thrives on managing the services to users in an effective manner. Providing those services requires an optimal solution for scheduling tasks to the resources within time bound. Genetic Algorithm (GA) is one of the scheduling algorithm which is based on evolutionary concept has been extensively studied in literature. In this paper, the performance of the Efficient Genetic Algorithm (EGA) is evaluated in different cloud computing environments. A comparison analysis revealed that EGA is more effective in heterogeneous environment as compared to homogeneous environment.

Keywords


Genetic Algorithm, Scheduling, Cloud Environment.