Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Reference :

    1.  Dong, Z., Liu, N., & Rojas-Cessa, R. (2015). Greedy scheduling f tasks with time constraints for energyefficient cloud-computing data centers. Journal of Cloud Computing, 4(1), 5.
    2.  Mao, M., & Humphrey, M. (2011, November). Autoscaling to minimize cost and meet application deadlines in cloud workflows. In Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis (p. 49). ACM.
    3. Judge, J., Pouchet, J., Ekbote, A., & Dixit, S. (2008). Reducing data center energy consumption. ASHRAE Journal, 50(11), 14.
    4.  Hashizume, K., Rosado, D. G., Fernández-Medina, E., & Fernandez, E. B. (2013). An analysis of security issues for cloud computing. Journal of internet services and applications, 4(1), 5.
    5. Kalra, M., & Singh, S. (2015). A review of metaheuristic scheduling techniques in cloud computing. Egyptian informatics journal, 16(3), 275-295.
    6.  Ma, L., Lu, Y., Zhang, F., & Sun, S. (2012, May). Dynamic task scheduling in cloud computing based on greedy strategy. In International Conference on Trustworthy Computing and Services (pp. 156-162). Springer, Berlin, Heidelberg.
    7.  Wang, T., Liu, Z., Chen, Y., Xu, Y., & Dai, X. (2014, August). Load balancing task scheduling based on genetic algorithm in cloud computing. In Dependable, Autonomic and Secure Computing (DASC), 2014 IEEE 12th International Conference on (pp. 146-152). IEEE.
    8. Navimipour, N. J., & Milani, F. S. (2015). Task scheduling in the cloud computing based on the cuckoo search algorithm. International Journal of Modeling and optimization, 5(1), 44.
    9. Bianchi, F., & Presti, F. L. (2016, September). A markov reward model based greedy heuristic for the virtual network embedding problem. In Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS), 2016 IEEE 24th International Symposium on (pp. 373-378). IEEE.
    10. Zhou, Z., & Zhigang, H. (2014). Task scheduling algorithm based on greedy strategy in cloud computing. The open Cybernetics & Systemics Journal, 8(1), 111- 114.

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