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Volume 9, Issue 2 (February 2023)

Estimating Cloud Workloads Based On Deep Neural Networks And Gradient Descent

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7.883
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Volume 12 Issue 07

July 2026

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Author(s)

Aditya Yadav Prof. G.R. Kesheorey

Abstract

Cloud Computing Has Revolutionized Computing Off Late With Several Domains And Applications Resorting To The Cloud Architecture. However Effective Task Scheduling And Load Balancing Is Critical For Cloud Based Servers. This Is Typically A Very Challenging


Keywords

Cloud Workload Estimation Deep Neural Network (DNN) Principal Component Analysis (PCA) Steepest Descent Approach Mean Absolute Percentage Error (MAPE).

Paper ID

IJSARTV9I257181

Publication Date

February 9, 2023

Research Area

Computer Science

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