Improving the Efficiency of Smart Grid Scheduling: A Linear Regression Model with Meta Job Information
Author:
Affiliation:
1. College of Information Technology, University of Petra,Department of Computer science,Amman,Jordan
2. German Jordianian University,Faculty of electrical Engineering and information systems,Department of Computer Engineering
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10532252/10532778/10532779.pdf?arnumber=10532779
Reference21 articles.
1. Multi-Objective Job Scheduler using Genetic Algorithm in Grid Computing
2. Host scheduling algorithm using genetic algorithm in cloud computing environment;Goyal;International Journal of Research in Engineering & Technology (IJRET),2013
3. Genetic and Greedy Optimization Algorithms for Effective Production Scheduling Techniques with Minimizing Makespan;Jenaris;International Journal of Applied Engineering Research,2016
4. A genetic algorithm based approach for scheduling decomposable data grid applications
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