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OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT
Published 2023“…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. The objectives of this work are: i) to provide a comprehensive review of the cloud and scheduling process; ii) to classify the scheduling strategies and scientific workflows; iii) to implement our proposed algorithm with various scheduling algorithms (i.e., Min-Min, Round-Robin, Max-Min, and Modified Max-Min) for performance comparison, within different cloudlet sizes (i.e., small, medium, large, and heavy) in three scientific workflows (i.e., Montage, Epigenomics, and SIPHT); and iv) to investigate the performance of the implemented algorithms by using CloudSim. …”
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Batch mode heuristic approaches for efficient task scheduling in grid computing system
Published 2016“…Many algorithms have been implemented to solve the grid scheduling problem. …”
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SG-PBFS : Shortest Gap-Priority Based Fair Scheduling technique for job scheduling in cloud environment
Published 2024“…To conduct this experiment, we employed the CloudSim simulator, which is implemented using the Java programming language.…”
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Classification of students' performance in computer programming course according to learning style
Published 2024Conference Paper -
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Particle swarm optimization for neural network learning enhancement
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Phishing attack detection using machine learning method
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Undergraduates Project Papers -
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Predicting Mental Health Disorder On Twitter Using Machine Learning Techniques
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Behaviour Analysis Among Adolescents And Children For Cyberbullying Based On Twitter And Kaggle Dataset
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Three-term backpropagation algorithm for classification problem
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Estimating Depressive Tendencies Of Twitter User Via Social Media Data
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Loan Eligibility Classification Using Machine Learning Approach
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Learning style analysis based on Felder-Silverman Index Model using Rule Base algorithm
Published 2024“…The Rule Base algorithm is used to classify students based on their learning style characteristics. …”
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A new mobile botnet classification based on permission and API calls
Published 2024Conference Paper -
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Music Recommender System Using Machine Learning Content-Based Filtering Technique
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A study on advanced statistical analysis for network anomaly detection
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