Journal Article10.1134/s1054661821040088
Task Pattern Identification and Scheduling Using Equal Opportunity Model for Minimization of Makespan and Task Diversity in Cloud Computing
M. Nirupama Bhat,Pawan Kumar Yadav, Dr. Vivekanand Katare*, Mr. Shriram Sen, Dr. Prabhat Kumar Jain,Urinboyeva Xonzoda Sirojidddinovna +2 more
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About: This article is published in Pattern Recognition and Image Analysis. The article was published on 01 Mar 2022. The article focuses on the topics: Cluster analysis & Computer science.
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Citations
Optimizing disaster relief goods distribution and transportation: a mathematical model and metaheuristic algorithms
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Large-Scale Data Intensive Heterogeneous Task Scheduling Method Based on Parallel GATS-TS Algorithm
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A machine learning framework for sport result prediction
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Deadline constrained cloud computing resources scheduling for cost optimization based on dynamic objective genetic algorithm
Zong-Gan Chen,Ke-Jing Du,Zhi-Hui Zhan,Jun Zhang +3 more
- 25 May 2015
TL;DR: The proposed dynamic objective GA (DOGA) has adaptive ability to the search environment to different objectives and can find better solution with smaller cost than PSO does on different scheduling scales and different deadline conditions.
115
Energy aware virtual machine placement scheduling in cloud computing based on ant colony optimization approach
Xiao-Fang Liu,Zhi-Hui Zhan,Ke-Jing Du,Wei-Neng Chen +3 more
- 12 Jul 2014
TL;DR: Experimental results compared with the ones obtained by the first-fit decreasing (FFD) algorithm show that ACO-VMP can solve VMP more efficiently to reduce the number of physical servers significantly, especially when the numberof VMs is large.
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