GLOPS: A Hybrid Approach for Enhanced Scheduling in Cloud Computing Environments via Machine Learning-Based Process Prediction

Cloud computing enables on-demand access to scalable computing resources, fostering agility and cost-effectiveness. However, effective resource allocation strategies are crucial to ensuring optimal utilization and meet dynamic workload demands. Traditional heuristic approaches often lead to suboptim...

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Bibliographic Details
Main Authors:	Syed Abu Ammar Muhammad Zarif, Layla Kader Suma, Md. Sadat Rahman, Md. Motaharul Islam, Phuoc Hung Pham, Phong Dung Thi Nguyen, Nguyen Thanh Binh
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Series:	IEEE Access
Subjects:	Process prediction process scheduling cloud computing scheduling algorithm resource allocation machine learning algorithm
Online Access:	https://ieeexplore.ieee.org/document/11095996/
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GLOPS: A Hybrid Approach for Enhanced Scheduling in Cloud Computing Environments via Machine Learning-Based Process Prediction

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