Optimization 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)
Keywords:
Abstract :
[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. 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.
[4] 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.
[5] 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.
[6] F. Ramezani, L. Jie, and J. F. Hussain, “Task Scheduling Optimization in Cloud Computing Applying Multi-Objective Particle Swarm Optimization. Springer-Verlag Berlin Heidelber”,2013, pp.237-251.
[7] N. Rasouli, M.R.Meybodi, and H.Morshedlou, “Virtual machine placement in cloud systems using Learning Automata ”, Fuzzy Systems (IFSC), 2013 13th Iranian Conference on. Qazvin, 2013, pp. 1-5.
