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Optimization of FCFS Based Resource Provisioning Algorithm for Cloud Computing

Publication Type : Journal Article

Publisher : IOSR Journals

Source : IOSR Journal of Computer Engineering

Url : https://doi.org/10.9790/0661-1050105

Campus : Faridabad

School : School of Artificial Intelligence

Year : 2013

Abstract : In our project, we propose an optimized version of the FCFS scheduling algorithm addresses these major challenges of task scheduling in cloud. The incoming tasks are grouped on the basis of task requirement like minimum execution time or minimum cost and prioritized (FCFS manner). Resource selection is done on the basis of task constraints using a greedy approach. The proposed model will be implemented and tested on simulation toolkit. We intend to create a module depicting the normal FCFS algorithm in comparison to our optimized version algorithm for resource provisioning in the cloud.

Cite this Research Publication : Aditya Marphatia, Aditi Muhnot, Tanveer Sachdeva, Esha Shukla, Lakshmi Kurup, Optimization of FCFS Based Resource Provisioning Algorithm for Cloud Computing, IOSR Journal of Computer Engineering, IOSR Journals, 2013, https://doi.org/10.9790/0661-1050105

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