ALGORITHM FOR TASK CONSOLIDATION IN CLOUD COMPUTING: A COMPARATIVE SURVEY
DOI:
https://doi.org/10.29121/granthaalayah.v6.i5.2018.1479Keywords:
Cloud Computing, Task Consolidation, VM Consolidation, Resource Utilization, Energy ConsumptionAbstract [English]
Cloud Computing is an emerging field in the IT industry. Cloud computing provides computing services over the Internet. Cloud Computing demand increasing drastically, which has enforced cloud service provider to ensure proper resource utilization with less cost and less energy consumption. In recent time various consolidation problems found in cloud computing like the task, VM, and server consolidation. These consolidation problems become challenging for resource utilization in cloud computing. We found in the literature review that there is a high level of coupling in resource utilization, cost, and energy consumption. The main challenge for cloud service provider is to maximize the resource utilization, reduce the cost and minimize the energy consumption. The dynamic task consolidation of virtual machines can be a way to solve the problem. This paper presents the comparative study of various task consolidation algorithms.
Downloads
References
Kumar, D., & Mandal, T. (2016, April). Greedy Approaches for Deadline Based Task Consolidation in Cloud Computing. In Computing, Communication And Automation (ICCCA), 2016 International Conference On (Pp. 1271-1276). IEEE. DOI: https://doi.org/10.1109/CCAA.2016.7813912
Chandra, P., Manjunatha, A. S., Murthy, P. C., & Madhu, B. R. (2016, December). Minimizing Execution Time of Cloudlets through Optimal Allocation of Virtual Machines Using Genetic Algorithm. In Electrical, Electronics, Communication, Computer and Optimization Techniques (ICEECCOT), 016 International Conference on (Pp. 213-217). IEEE. DOI: https://doi.org/10.1109/ICEECCOT.2016.7955217
Tavana, M., Shahdi-Pashaki, S., Teymourian, E., Santos-Arteaga, F. J., & Komaki, M. (2018). A Discrete Cuckoo Optimization Algorithm for Consolidation in Cloud Computing. Computers & Industrial Engineering, 115, 495-511. DOI: https://doi.org/10.1016/j.cie.2017.12.001
Gourisaria, M. K., Patra, S. S., & Khilar, P. M. (2018). Energy Saving Task Consolidation Technique in Cloud Centers with Resource Utilization Threshold. In Progress in Advanced Computing and Intelligent Engineering (Pp. 655-666). Springer, Singapore. DOI: https://doi.org/10.1007/978-981-10-6872-0_63
Madhu, B. R., Manjunatha, A. S., Chandra, P., & Murthy, C. Minimizing Energy Consumption In Cloud Datacenters Using Task Consolidation.
Hsu, C. H., Slagter, K. D., Chen, S. C., & Chung, Y. C. (2014). Optimizing Energy Consumption With Task Consolidation In Clouds. Information Sciences, 258, 452-462. DOI: https://doi.org/10.1016/j.ins.2012.10.041
Downloads
Published
How to Cite
Issue
Section
License
With the licence CC-BY, authors retain the copyright, allowing anyone to download, reuse, re-print, modify, distribute, and/or copy their contribution. The work must be properly attributed to its author.
It is not necessary to ask for further permission from the author or journal board.
This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.
