TASA: A New Task Scheduling Algorithm in Cloud Computing

Subject Areas : Cloud, Cluster, Grid and P2P Computing

Somayeh Taherian Dehkordi ¹ (Department of Computer Engineering. Kerman Branch. Islamic Azad University. Kerman. Iran)
Vahid Khatibi Bardsiri ² (Department of Computer Engineering. Kerman Branch. Islamic Azad University. Kerman. Iran)

Received: 2015-07-11 Accepted : 2015-10-17 Published : 2015-11-01

Keywords:

References:

[1] F. Durao, S.F.J. Carvalho, A. Fonseka and C.V. Garcia, “A systematic review on cloud computing“, The Journal of Supercomputing, Springer US, Vol. 68, 2014, pp.1321-1346.
[2] W. Mingxin, “Research on Improvement of Task Scheduling Algorithm in Cloud Computing“, Applied Mathematics & Information Sciences An International Journal, Vol.9,2015, pp. 507-516.
[3] T. Ma, Y. Chu, L. Zhao, and O. Ankhbayar, “Resource Allocation and Scheduling in Cloud Computing: Policy and Algorithm”, IETE Technical Review, Publishing models and article dates explained, Vol.31, 2014, pp.1-16.
[4] R. Kaur, and S. Kinger, “Analysis of Job Scheduling Algorithms in Cloud Computing” , International Journal of Computer Trends and Technology (IJCTT) , Vol.9, 2014, pp.379-386.
[5] S.V.Nandgaonkar, and A.B. Raut, “A Comprehensive Study on Cloud Computing”, International Journal of Computer Science and Mobile Computing, a Monthly Journal of Computer Science and Information Technology,Vol.3,2014, pp.733-738.
[6] R. Mittal, and k. Soni, “Analysis of Cloud Computing Architectures”, International Journal of Advanced Research in Computer and Communication Engineering,Vol.2, 2013, pp.2087-2091.
[7] T. Buchert, C. Ruiz, L. Nussbaum, And O. Richard, “A survey of general-purpose experiment management tools for distributed systems“, Future Generation Computer Systems, Vol.45, 2015, pp. 1-12.
[8] T. Mathew, K.C. Sekaran, and J. Jose, “Study and analysis of various task scheduling algorithms in the cloud computing environment“ , Advances in Computing, Communications and Informatics (ICACCI), International Conference, 2014, pp. 658- 664.
[9] S. Nagadevi, K. Satyapriya, and D. Malathy, “A Survey on Economic Cloud Schedulers for Optimized task scheduling“, International Journal of Advanced Engineering Technology, Vol.5, 2013, pp. 58-62.
[10] L. Tripathy, and R.R. Patra, “Scheduling in Cloud Computing“, International Journal on Cloud Computing: Services and Architecture (IJCCSA), Vol. 4, 2014, pp. 21-27.
[11] C.W. Tsai, and J.P.C. Rodrigues, “Metaheuristic Scheduling for Cloud: A Survey“, Systems Journal, IEEE, Vol.8, 2013, pp. 279-291.
[12] R. Nallakumar, N. Sengottaiyan, and S.Nithya, “A Survey of Task Scheduling Methods in Cloud Computing“. International Journal of Computer Sciences and Engineering, Vol.2, 2014, pp. 9-13.
[13] S. Parsa, and E.R. Maleki, “RASA: A New Task Scheduling Algorithm in Grid Environment“, World Applied Sciences Journal 7 (Special Issue of Computer & IT), 2009, pp. 152-160.
[14] A. Ghorbannia, M. Javanmard, M. Barzegar, and M. Khosravi, “RSDC (Reliable Scheduling Distributed in Cloud Computing) “, International Journal of Computer Science, Engineering and Applications (IJCSEA). Vol.2, 2012, pp. 1-16.
[15] F. Ramezani, L. Jie, and J. Hussain, “Task Scheduling Optimization in Cloud Computing Applying Multi-Objective Particle Swarm Optimization“, Springer-Verlag Berlin Heidelber, 2013, pp. 237-251.
[16] J. Elayaraja, and S. Dhanasekar, “A Survey on workflow scheduling in cloud using ant colony optimazation“, International Journal of Computer Science and Mobile Computing, Vol.3, 2014, pp. 39- 44.
[17] X. Xu, N. Hu, and W.Q. Ying, “Cloud Task and Virtual Machine Allocation Strategy Based on Simulated Annealing-Genetic Algorithm“, Applied Mechanics and Materials, Applied Science, Materials Science and Information Technologies in Industry, 2014, pp. 391-394.
[18] M.G. Huang, and Z.Q. Ou, “Review of Task Scheduling Algorithm Research in Cloud Computing“, Advanced Materials Research, Progress in Applied Sciences, Engineering and Technology , 2014, pp. 3236-3239.
[19] k. Gupta, and M. Singh, “Heuristic Based Task Scheduling In Grid“, International Journal of Engineering and Technology (IJET), Vol.4, 2014, pp. 254-260.
[20] H. Suo, H. Yan, “Research on Resource Scheduling in Cloud Computing: Issues and Solutions“, Applied Mechanics and Materials, Numerical Methods, Computation Methods and Algorithms for Modeling, Simulation and Optimization, Data Mining and Data Processing, 2014, pp. 1801-1804.