Mean-Min task scheduling algorithm for cloud environment
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Abstract
Cloud computing is a form of distributed computing which provides various services to the users. Because it
of its dynamic and distributed services it has attracted the users and it is a fast growing technology in the field
of distributed computing. It is highly scalable and it allows on-demand services. Millions of user are using the
cloud environment because of its pay-as-you-go service. The cloud environment must be able to meet the user
requirements and provide quality of service with high performance. The performance of cloud computing will
be better if an efficient task scheduling algorithm is used for mapping the tasks to the available resources. An
efficient scheduling algorithm increases the resource utilization thereby minimizing the execution time and cost.
This paper proposes a Mean-Min Task Scheduling algorithm for Cloud environment based on the minimum
execution time of the tasks submitted.
Keywords:
Cloud Computing, Task Scheduling, Completion Time, Execution TimeMathematics Subject Classification:
Mathematics- Pages: 810-813
- Date Published: 01-01-2021
- Vol. 9 No. 01 (2021): Malaya Journal of Matematik (MJM)
Sindhu S., Mukherjee S,"Efficient Task Scheduling Algorithms for Cloud Computing Environment", High Performance Architecture and Grid Computing. HPAGC 2011. Communications in Computer and Information Science, 169. Springer, Berlin, Heidelberg-
Athokpam Bikramjit Singh, Sathyendra Bhat J., Ragesh Raju, Rio D'Souza, "A Comparative Study of Various Schcduling Algorithms in Cloud Computing", American Joumal of Intelligent Systems, 7(3)(2017), 68-72.
Tahani Aladwani, "Types of Task Scheduling Algorithms in Cloud Computing Emvinonment', Scheduling Problems - New Applications and Trends, Mecca, Saudi Arabia, April 2020.
T. Kokilavani, D.I. George Amalarethinam, "Reduced Makespan Task Scheduling Algorithm for Grid Computing", $I J C T A, 9(27)(2016), 71-76$.
[S] Priyanka Sharma, Dr. Sanjay Shilakari, Uday Chourasia, Priyanka Dixit, Alpana Pandey, "A Survey On Various Types Of Task Scheduling Algorithm In Cloud Computing Environment", International Journal Of Scientific & Technology Research, 9(01)(2020) ISSN $2277-8616$, $1513-1521$
S. K. Panda and P. K. Jana, "An efficient task scheduling algorithm for heterogeneous multi-cloud environment," 2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI), IEEE Xplore: 01 Delhi, India, 2014, 1204-1209.
Hussin M. Alkhashai, Fatma A. Omara, "An Enhanced Task Scheduling Algorithm on Cloud Computing Environment", Intemational Joumal of Grid and Distributed Computing, 9(7)(2016), 91-100, ISSN: 20054262 IJGDC.
Ibrahim Attiya, Mohamed Abd Elaziz, Shengwu Xiong, "Job Scheduling in Cloud Computing Using a Modified Harris Hawks Optimization and Simulated Annealing Algorithm", Computational Intelligence and Neuroscience, 2020, Article ID 3504642, 17 pages, 2020.
Deepika Saxena, Dr. R.K. Chauhan, "A Review On Dynamic Fair Priority Task Scheduling Algorithm In Cloud Computing", International Journal of Science, Environment and Technology, ISSN 2278-3687 (O), 3(3)(2014), $997-1003$.
AoFeng Zhou, "Genetic Ant Colony Algorithm Improves Resource Scheduling in Cloud Computing", ICISS 2020: Proceedings of the 2020 The 3rd International Conference on Information Science and System, March 2020, Pages $106-109$.
(11) Hongyan Cui, Xiaofei Liu, Tao Yu, Honggang Zhang, Yajun Fang, Zongguo Xia, "Cloud Service Scheduling A1gorithm Research and Optimization", Security and Communication Nerworks, 2017. Article ID 2503153, 7 pages, 2017.
Mohammed A. S. Mosleh, G. Radhamani, Mohamed A. G. Hazber, Syed Hamid Hasan, "Adaptive Cost-Based Task Scheduling in Cloud Environment", Scientific Progranning, 2016, Article ID 8239239, 9 pages, 2016.
M. Zhu, Q. Wu and Y. Zhao,"A cost-effective scheduling algorithm for scientific workflows in clouds," 2012 IEEE 31st International Performance Computing and Communications Conference (IPCCC), Austin, TX, 2012, $256-265$.
Ritu Kapur, "A Cost Effective approach for Resource Scheduling in Cloud Computing", IEEE Intemational Conference on Computer, Communication and Control (IC4-2015), 2015.
Cao, J., Spooner, D.P., Jarvis, S.A., Nudd, G.R.: Grid Load Balancing Using Intelligent Agents. Future Generation Computer Systems, 21(1)(2005), 135-149.
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