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International Transactions on Evolutionary and Metaheuristic Algorithms
Vol. 6, No. 1, Apr. 2020


Task Scheduling in the Cloud Amended Through Genetic Algorithms

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a University of Baghdad, Baghdad, Iraq

 

Highlights and Novelties
1- At present, cloud computing is used far and wide in companies and institutions.

2- Furthermore, it builds on the concept of virtualization and the pay-as-you-go principle. The management of these resources has been the subject of considerable research.

3- A task scheduling algorithm is based on genetic algorithms (GA) to allocate and implement tasks specific to the application.

4- The use of a genetic algorithm for the distribution of tasks and schedules seeks more and more attention from the scholars.

 

Manuscript Abstract
At present, cloud computing is used far and wide in companies and institutions. Yet, there are some challenges in using cloud computing. The central challenge is resource management, as cloud computing provides IT resources (for example, CPU, memory, network, storage, etc.). Furthermore, it builds on the concept of virtualization and the pay-as-you-go principle. The management of these resources has been the subject of considerable research. A task scheduling algorithm is based on genetic algorithms (GA) to allocate and implement tasks specific to the application. The use of a genetic algorithm for the distribution of tasks and schedules seeks more and more attention from scholars. To solve the difficulty of resource scheduling in large-scale, nonlinear cluster systems, and has achieved ideal effects GA has been widely applied. By what means to make reasonable use of computing resources that creates total and average time complete a shorter and smaller task costing an important issue. Research spectacles that artificial methods can achieve, further optimal load balancing than traditional approaches.

 

Keywords
 Task Scheduling   Cloud Computing   Genetic Algorithm 

 

Copyright and Licence
© Copyright was transferred to International Computer Science and Engineering Society (ICSES) by all the Authors. This manuscript is published in Open-Access manner based on the copyright licence of Creative Commons Attribution Non Commercial 4.0 International (CC BY-NC 4.0).

 

Cite this manuscript as
Heba Fadhil, "Task Scheduling in the Cloud Amended Through Genetic Algorithms," International Transactions on Evolutionary and Metaheuristic Algorithms, vol. 6, no. 1, pp. 1-2, Apr. 2020.

 

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Manuscript ID: 330
Pages: 1-2
Submitted: 2020-03-22
Accepted: 2020-04-20
Published: 2020-04-30


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Journal's Title
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Journal

International Transactions on Evolutionary and Metaheuristic Algorithms
ISSN: 2467-291X

ISSN: 2467-291X
Frequency: Biannually
Accessability: Online - Open Access
Founded in: Mar. 2015
Publisher: ICSES
DOI Suffix: 10.31424/icses.itema