A Survey of Scheduling Policies in Cloud Computing Environment

International Journal of Computer Trends and Technology (IJCTT)          
© 2016 by IJCTT Journal
Volume-34 Number-4
Year of Publication : 2016
Authors : Aditya Makwe, Priyesh Kanungo


Aditya Makwe, Priyesh Kanungo "A Survey of Scheduling Policies in Cloud Computing Environment". International Journal of Computer Trends and Technology (IJCTT) V34(4):169-173, April 2016. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
Cloud computing has created a new perception of computation with all its features and characteristics. With its profound computational capabilities, it provides a platform for solving complex computational problems. Cloud computing deals with different kinds of virtualized resources and scheduling plays a vital role in cloud computing. This paper focuses on that various scheduling policies with their features and utility. We give an elaborate idea of cloud computing and elaborate the advantages and disadvantages of various scheduling policies.

[1] Ergu, D., Kou, G., Peng, Y., Shi, Y. and Shi, Y. 2011. The analytic hierarchy process: task scheduling and resource allocation in cloud computing environment. The Journal of Supercomputing. (2011).
[2] Foster, I., Zhao, Y., Raicu, I. and Lu, S. 2008. Cloud Computing and Grid Computing 360-Degree Compared. 2008 Grid Computing Environments Workshop. (2008), 1– 10.
[3] Ghanbari, S. and Othman, M. A priority based job scheduling algorithm in cloud computing. Procedia Engineering. 50, Icasce (2012), 778–785, 2012.
[4] Kanungo P "Exploring Load Balancing To Solve Various Problems In Distributed Computing"International Journal of Computer Trends and Technology (IJCTT),V4(10):3660-3664 October Issue 2013 .ISSN 2231-2803.www.ijcttjournal.org. Published by Seventh Sense Research Group.
[5] K C Gouda, Anurag Patro , Dines Dwivedi , Nagaraj Bhat."Virtualization Approaches in Cloud Computing". International Journal of Computer Trends and Technology (IJCTT) V12(4):161-166, June 2014. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
[6] Li J, Peng J,Lei Z, Zhang W, An Energy-efficient Scheduling Approach Based on Private Clouds, Journal of Information & Computational Science. April 2011.
[7] Li J, Peng J, Lei Z, Zhang W, A Scheduling Algorithm for Private Clouds, Journal of Convergence Information Technology, Volume6, Number 7, 2011.
[8] Lee G, Chun B G, Katz R H, Heterogeneity-Aware Resource Allocation and Scheduling in the Cloud.
[9] Mehta, H., Kanungo, P. and Chandwani, M., “'Towards Development of a Distributed e-Learning EcoSystem,” 2nd International Conference on Technology for Education (TforE-2010), IIT Mumbai, July 1-3, 2010.
[10] Mahiba, T. 2013. Live Virtual Machine Migration in Dynamic Resource Management of Virtualized Cloud Systems. 2, 4 (2013), 226–233.
[11] Moschakis, I. A. and Karatza, Evaluation of gang scheduling performance and cost in a cloud computing system, Journal of Supercomputing, Springer Publications, 2010
[12] Makwe A. and Kanungo P., Scheduling in Cloud Computing Environment Using Analytic Hierarchy Process Model IEEE International Conference, Medicaps Institute of Technology and Science, Indore 10-12 Sept 2015
[13] Sharma, R.K., Kanungo, P. and Chandwani, M., “Performance enhancement of Network of Workstations using Dynamic Load Balancing,” Bhartiya Vigyan Sammelan, Indore, 1-3 December, 2009.
[14] Salehi, M.A. and Buyya, R.. Adapting market-oriented scheduling policies for cloud computing. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6081 LNCS, PART 1 (2010), 351–362, 2010.
[15] Samal P and Mishra P, Analysis of variants in Round Robin Algorithms for load balancing in Cloud Computing, International Journal of Computer Science and Information Technologies, pp. 416-419, Vol. 4 (3), 2013.
[16] The NIST Definition of Cloud computing http://www.nist.gov/itl/csd/cloud-102511.cfm
[17] Tiwari A. and Kanungo P., “Dynamic Load Balancing Algorithm for Scalable Heterogeneous Web Server Cluster with Content Awareness,” 2nd International Conference on Trendz in Information Sciences & Computing, (TISC) 2010, Satyabhama University, Chennai, India, pp. 143-148 (Print ISBN: 978-1-4244-9007-3, Paper available on IEEE Xplore.
[18] Wang, W., Zeng, G., Tang, D. and Yao, J. 2012. Cloud- DLS: Dynamic trusted scheduling for Cloud computing. Expert Systems with Applications. 39, 3 (2012), 2321–2329, 2012.
[19] Xu, B., Zhao, C., Hu, E. and Hu, B. 2011. Job scheduling algorithm based on Berger model in cloud environment. Advances in Engineering Software. 42, 7 (2011), 419–425.

Cloud Computing, Grid Computing, Data centre, Virtualization, Analytic Hierarchy process (AHP) model, Quality of Service (QoS), Gang Scheduling, Market Oriented Scheduling.