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Cloud Resource Allocation Framework using Machine Learning

Published in Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunication Engineering (ECTI DAMT & NCON) • Feb 4, 2026
NobleIDNI9P462W769R637S359
Authors:
Maryyam Maryyam
,
Ahmed Shaharyar Khwaja
,
Anju S. Pillai

Abstract

Cloud computing enables scalable and on-demand resource provisioning. However, inefficient cloud resource allocation either leads to overprovisioning that wastes resources, or underprovisioning that degrades performance. This study proposes a machine learning-aided resource allocation framework to o...

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