18Feb 2017

A SURVEY ON TASK SCHEDULING MODEL IN CLOUD COMPUTING USING OPTIMIZATION TECHNIQUE.

  • Students, Department of computer science, S.A.Engineering College, Anna University.
  • Professor & HOD, Department of computer science, S.A.Engineering College, Anna University.
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Task scheduling is the most important part of cloud computing. To optimize the system, the tasks have to be scheduled in an efficient manner. A scheduling algorithm must be efficient in a way that it improves the performance of the system. The primary goal of task scheduling algorithm is to reduce the makespan and to increase resource utilization. In this paper a task scheduling model using various algorithms has been analyzed. These algorithms take into consideration of various parameters and improve the system.

  1. Liji Jacob, "Bat Algorithm for Resource Scheduling In Cloud Computing", International Journal For Research In Applied Science And Engineering Technology (IJRASET), Vol. 2 Issue IV, pp.53-57 April 2014.
  2. UmaraniSrikanth, V. Uma Maheswari, A. P. Shanthi, Arul Siromoney, "Task Scheduling Model", Indian Journal of Science and Technology, Vol 8(S7),pp. 33–42, April 2015.
  3. SumandeepAujla, AmandeepUmmat, "Task scheduling in Cloud Using Hybrid Cuckoo Algorithm", International Journal of Computer Networks and Applications (IJCNA) Volume 2, Issue 3, pp.144-150 May – June (2015).
  4. I.Awad, N.A.El-Hefnawy, H.M.Abdel_kader, "Enhanced Particle Swarm Optimization for Task Scheduling In Cloud Computing Environments ", International Conference on Communication, Management and Information Technology (ICCMIT 2015) pp.920-929.
  5. NimaJafariNavimipour, "Task scheduling in the Cloud Environments based on an Artificial Bee Colony Algorithm", Proceedings of 2015 International Conference on Image Processing, Production and Computer Science (ICIPCS'2015) Istanbul (Turkey), June 3-4, 2015 pp. 38-44.
  6. Ramya, P.Keerthika, P. Suresh, and M.Sivaranjani, "Optimized Scheduling Of Tasks Using Heuristic Approach With Cost-Efficiency In Cloud Data Centers", International Journal of Scientific & Engineering Research, Volume 7, Issue 2,pp.208-213 February-2016.
 
  1. Durga Lakshmi, N. Srinivasu, "A dynamic approach to task scheduling in cloud computing using genetic algorithm", Journal of Theoretical and Applied Information Technology 20th March 2016.pp.124-135 Vol.85. No.2.
  2. KokKonjaang, J.Y. Maipan-uku, Kumangkem Kennedy Kubuga, "An Efficient Max-Min Resource Allocator and Task Scheduling Algorithm in Cloud Computing Environment ", International Journal of Computer Applications (0975 – 8887) Volume 142 – No.8, pp.25-30 May 2016.
  3. Leila Ismail, Abbas Fardoun, "EATS: Energy-Aware Tasks Scheduling in Cloud Computing Systems", The 6th International Conference on Sustainable Energy Information Technology pp.870-877(SEIT 2016).
  4. Hussin M. Alkhashai, Fatma A. Omara, "An Enhanced Task Scheduling Algorithm on Cloud Computing Environment", International Journal of Grid and Distributed Computing Vol. 9, No. 7, pp.91-100 (2016).
  5. ShengjunXue, Wenling Shi, and XiaolongXu, "A Heuristic Scheduling Algorithm based on PSO in the Cloud Computing Environment", International Journal of u- and e- Service, Science, and Technology, Vol.9, No. 1 pp.349-361(2016).
  6. Parminder Singh, AmandeepKaur, "Efficient Task Scheduling Over Cloud Computing with An Improved Firefly Algorithm", International Journal of Engineering Development and Research, Volume 4, Issue 2, pp.1514-1518(2016).

[A. Nandhini, S.Radha, T.V.Pavithra and G.Umarani Srikanth. (2017); A SURVEY ON TASK SCHEDULING MODEL IN CLOUD COMPUTING USING OPTIMIZATION TECHNIQUE. Int. J. of Adv. Res. 5 (Feb). 345-348] (ISSN 2320-5407). www.journalijar.com

A.Nandhini
S.A.Engineering college, Anna University, Chennai

DOI:

Article DOI: 10.21474/IJAR01/3155      
DOI URL: http://dx.doi.org/10.21474/IJAR01/3155

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