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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 | Miscellaneous
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a University of Baghdad, Baghdad, Iraq
Prof. Heba Fadhil
 Corresponding Author
 Affiliation: University of Baghdad, Baghdad, Iraq
 Tel: 773
Phone: 2026138  E-mail: fadhilheba@gmail.com
2nd e-mail: heba@kecbu.uobaghdad.edu.iq
Prof. Heba Fadhil's publications in ICSES
- Task Scheduling in the Cloud Amended Through Genetic Algorithms
ICSES Transactions on Evolutionary and Metaheuristic Algorithms
Miscellaneous | Vol. 6, No. 1 | Pages 1-2 | Apr. 2020
Heba Fadhil - High Performance Clustering to Improve Data Mining Techniques
Frontiers of Supercomputing
Miscellaneous | Vol. 3, No. 1 | Pages 1-2 | Apr. 2020
Heba Fadhil - Parallel Programming Models for Cloud Computing
ICSES Interdisciplinary Transactions on Cloud Computing, IoT, and Big Data
Special Issue Proposal | In Press | Pages 1-4 | Mar. 2020
Heba Fadhil - Private Cloud Data Storage Using Raspberry Pi
ICSES Interdisciplinary Transactions on Cloud Computing, IoT, and Big Data
Short Letter | Vol. 3, No. 3 | Pages 1-5 | Sep. 2019
Heba Fadhil - The Age of Miraculous Technology Advent to Eradicate Cancer Cells
ICSES Transactions on Image Processing and Pattern Recognition
Miscellaneous | Vol. 4, No. 2 | Pages 1-3 | Jun. 2018
Heba Fadhil - Cloud Precept: Storage, Backup, and Synchronization
ICSES Interdisciplinary Transactions on Cloud Computing, IoT, and Big Data
Short Letter | Vol. 2, No. 1 | Pages 1-3 | Mar. 2018
Heba Fadhil
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This article has been retracted by International Computer Science and Engineering Society (ICSES) because of ethical misconduct, scientific distortion, or administrative error, and cannot be downloaded and used for any purpose based on the violation in ICSES Ethics in Publicationcall_made |
Retraction Note by the Editor-in-Chief
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.
For External Scientific Databeses
--BibTex--
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title="Task Scheduling in the Cloud Amended Through Genetic Algorithms",
author="Heba Fadhil",
journal="International Transactions on Evolutionary and Metaheuristic Algorithms (ITEMA)",
volume="6",
number="1",
pages="1-2",
year="2020",
month="04",
day="30",
publisher= "International Computer Science and Engineering Society (ICSES)",
doi="",
url="http://www.i-cses.com/files/download.php?pID=330"}
--EndNote--
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