Work place: Dr. B.R Ambedkar National Institute of Technology, Department of CSE, Jalandhar, 144011, India
E-mail: guptadk@nitj.ac.in
Website:
Research Interests: Computer systems and computational processes, Computer Architecture and Organization, Operating Systems, Data Structures and Algorithms
Biography
Deepak Kumar Gupta is Associate Professor at the Department of Computer Science & Engineering, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar. He has total 29 years of experience including teaching and industries. In research, his current interests includes Social Media, Data Analytics and Operating System.
By Rohit Nagar Deepak K. Gupta Raj M. Singh
DOI: https://doi.org/10.5815/ijitcs.2018.01.08, Pub. Date: 8 Jan. 2018
Cloud computing is service based technology on internet which facilitates users to access plenty of resources on demand from anywhere and anytime in a metered manner i.e. pay per usage without paying much heed to the maintenance and implementation details of application. As cloud technology is evolving day by day it is being confronted by numerous challenges, such as time and cost under deadline constraints. Research work done so far mainly focused on reducing cost as well as execution time. In order to minimize cost and execution time previously existing workflow scheduling model known as predict earliest finish time is used. In this research work we have proposed a new PEFT genetic algorithm approach to further reduce the execution time on this model. A strategy is developed to let GA focus on to optimize chromosomes objective to get best suitable mutated children. After obtaining a feasible solution, the genetic algorithm focuses on optimizing the execution time. Experimental results show that our algorithm can find better solution within lesser time.
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