A Survey of Task Scheduling Methods in Cloud Computing
R.Nallakumar 1 , Dr.N.Sengottaiyan 2 , S.Nithya 3
Section:Survey Paper, Product Type: Journal Paper
Volume-2 ,
Issue-10 , Page no. 9-13, Oct-2014
Online published on Nov 02, 2014
Copyright © R.Nallakumar, Dr.N.Sengottaiyan , S.Nithya . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: R.Nallakumar, Dr.N.Sengottaiyan , S.Nithya, “A Survey of Task Scheduling Methods in Cloud Computing,” International Journal of Computer Sciences and Engineering, Vol.2, Issue.10, pp.9-13, 2014.
MLA Style Citation: R.Nallakumar, Dr.N.Sengottaiyan , S.Nithya "A Survey of Task Scheduling Methods in Cloud Computing." International Journal of Computer Sciences and Engineering 2.10 (2014): 9-13.
APA Style Citation: R.Nallakumar, Dr.N.Sengottaiyan , S.Nithya, (2014). A Survey of Task Scheduling Methods in Cloud Computing. International Journal of Computer Sciences and Engineering, 2(10), 9-13.
BibTex Style Citation:
@article{_2014,
author = {R.Nallakumar, Dr.N.Sengottaiyan , S.Nithya},
title = {A Survey of Task Scheduling Methods in Cloud Computing},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {10 2014},
volume = {2},
Issue = {10},
month = {10},
year = {2014},
issn = {2347-2693},
pages = {9-13},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=275},
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=275
TI - A Survey of Task Scheduling Methods in Cloud Computing
T2 - International Journal of Computer Sciences and Engineering
AU - R.Nallakumar, Dr.N.Sengottaiyan , S.Nithya
PY - 2014
DA - 2014/11/02
PB - IJCSE, Indore, INDIA
SP - 9-13
IS - 10
VL - 2
SN - 2347-2693
ER -
VIEWS | XML | |
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Abstract
Cloud computing is one of the latest computing technology where the data’s applications and the IT services are provided with the help of Internet. The Grid computing, distributed computing and virtualization are the concepts that helped to build the cloud computing. Cloud computing provides various computing resources to the cloud users based on pay-per-usage basis. Resource scheduling and Job/Task scheduling are the most important considerations in the cloud and in which, the jobs submitted gets allocated by the resources efficiently. The goal of the cloud computing service provider, is to use the efficient resources to obtain the maximum profit and this results the task scheduling a core and one of the challenging issues in the cloud environment. The Task scheduling is an NP-hard optimization problem and where the meta-heuristic algorithms are proposed to provide an optimal solution. The scheduling strategy of a good task scheduler should get adopted based on the changing environments and the type of task scheduling used.
Key-Words / Index Term
Cloud computing,Task Scheduling,Resource allocation,Quality-of-Service,Load Balancing
References
[1]. M. Gokilavani, S. Selvi and C. Udhayakumar, “A Survey on Resource Allocation and Task Scheduling Algorithms in Cloud Environment”, International Journal of Engineering and Innovative Technology (IJEIT), Volume 3, Issue 4, ISSN: 2277-3754, October 2013.
[2]. Sunny Kumar, Shivani Khurana, “Analysis of different Scheduling Algorithms under Cloud Computing”,International Journal of Computer Science and Information Technologies (IJCSIT), Vol. 5, Issue 2, ISSN:0975-9646, 2592-2595,2014.
[3]. Monika Choudhary, Sateesh Kumar Peddoju, “A Dynamic Optimization Algorithm for Task Scheduling in Cloud Environment”, International Journal of Engineering Research and Applications (IJERA), Vol. 2, Issue 3, May-Jun 2012, pp. 2564-2568.
[4]. “Cloud computing resources”, http://www.cloud9s.net/cloudcomputingresources.html
[5]. http://www.thecloudcomputing.org/2011
[6]. http://salsahpc.indiana.edu/CloudCom2010/papers.html
[7]. http://www.itworld.com/internet/69141/5-coolcloud-computing-research-projects
[8]. http://en.wikipedia.org/wiki/Cloud_computing
[9]. http://www.thecloudcomputing.org/2012/history.html
[10]. http://www.whereisdoc.co
[11]. Torry Harris' “Cloud Computing – An Overview”
[12]. Maheswari. R and S. Selvi, “A Survey on Scheduling Algorithms in Cloud Computing”, International Journal of Engineering Research & Technology (IJERT), Vol. 2 Issue 10, ISSN: 2278-0181, October – 2013.
[13]. Sujit Tilak, and Prof. Dipti Patil, “A Survey of Various Scheduling Algorithms in Cloud Environment”, International Journal of Engineering Inventions (IJEI), Volume 1, Issue 2, ISSN: 2278-7461, September 2012, PP: 36-39
[14]. Saeed Parsa and Reza Entezari-Maleki, ”RASA: A New Task Scheduling Algorithm in Grid Environment”, in World Applied Sciences Journal 7 (Special Issue of Computer & IT): 152-160, 2009, Berry M. W., Dumais, S. T., O’Brien G. W. Using linear algebra for intelligent information retrieval, SIAM Review, 1995, 37, pp. 573-595.
[15]. Nithiapidary Muthuvelu, Junyang Liu, Nay Lin Soe, Srikumar Venugopal, Anthony Sulistio and Rajkumar Buyya, “A Dynamic Job Grouping-Based Scheduling for Deploying Applications with Fine-Grained Tasks on Global Grids”, in Australasian Workshop on Grid Computing and e-Research (AusGrid2005), Newcastle, Australia., Conferences in Research and Practice in Information Technology, Vol. 44.
[16]. Meng Xu, Lizhen Cui, Haiyang Wang, Yanbing Bi, “A Multiple QoS Constrained Scheduling Strategy of Multiple Workflows for Cloud Computing”,in 2009, IEEE International Symposium on Parallel and Distributed Processing.
[17]. Dr. Amit Agarwal and Saloni Jain, “Efficient Optimal Algorithm of Task Scheduling in Cloud Computing Environment”, International Journal of Computer Trends and Technology (IJCTT), Volume 9 Issue7, March 2014.
[18]. Mrs. S. Selvarani, Dr. G. Sudha Sadhasivam, “Improved Cost - Based Algorithm For Task Scheduling In Cloud Computing”, IEEE, 2010.
[19]. Fei Teng, “Resource allocation and scheduling models for cloud computing”, Paris, 2011.
[20]. Emeakaroha, V.C., Brandic, I., Maurer, M. And Breskovic, I., “SLA-Aware Application Deployment and Resource Allocation in Clouds”, IEEE, 2011.
[21]. Daniel, D., Lovesum, S.P.J., “A novel approach for scheduling service request in cloud with trust monitor”, IEEE, 2011.
[22]. Boloor, K., Chirkova, R., Salo, T., Viniotis, Y., "Heuristic-Based Request Scheduling Subject to a Percentile Response Time SLA in a Distributed Cloud", IEEE, 2011.
[23]. Mehdi, N.A., Mamat, A. Amer, A., Abdul-Mehdi, Z.T., "Minimum Completion Time for Power-Aware
a. Scheduling in Cloud Computing", IEEE, 2012.
[24]. Luna Mingyi Zhang, Keqin Li, Yan-Qing Zhang, "Green Task Scheduling Algorithms with Speeds Optimization on Heterogeneous Cloud Servers", IEEE, 2011.
[25]. Xin Lu, Zilong GU, “A load-adaptive cloud resource scheduling model based on ant colony algorithm”, IEEE, 2011.
[26]. Gao Ming and Hao Li, "An Improved Algorithm Based on Max-Min for Cloud Task Scheduling", Yunnam University, China, 2011.
[27]. Ching-Hsien Hsu, Tai-Lung Chen, "Adaptive Scheduling Based on Quality of Service in Heterogeneous Environments", IEEE, 2010.
[28]. Shuo Liu, Gang Quan, Shangping Ren, "On-Line Scheduling of Real-Time Services for Cloud Computing", IEEE, 2010.
[29]. J. Yu and R. Buyya, “Workflow Scheduling Algorithms for Grid Computing”, Technical Report, GRIDS-TR-2007-10, Grid Computing and Distributed Systems Laboratory, The University of Melbourne, Australia, May 2007.
[30]. Anju Bala, Dr. Inderveer Chana, "A Survey of Various Workflow Scheduling Algorithms in Cloud Environment", 2nd National Conference on Information and Communication Technology (NCICT), 2011, Proceedings published in International Journal of Computer Applications® (IJCA).