Workload Forecasting Methods in Cloud Environments: An Overview

Cloud computing is becoming increasingly popular due to its on-demand resource allocation and scalability. It is essential to precisely anticipate workload as applications and users on cloud-based services increase to distribute resources effectively and avoid service interruptions. We present an ov...

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Bibliographic Details

Published in:	AL-Rafidain journal of computer sciences and mathematics Vol. 17; no. 2; pp. 29 - 37
Main Authors:	Aziz, Samah, Kashmoola, Manar
Format:	Journal Article
Language:	Arabic English
Published:	Mosul University 23-12-2023
Subjects:	cloud computing deep learning (dl) long short term memory (lstm) machine learning (ml) neural networks review workload forecasting
Online Access:	Get full text
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