A Machine Learning Framework for Job Failure Prediction in Cloud using Hyper Parameter Tuned MLP-Reference-Cited by-同舟云学术

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A Machine Learning Framework for Job Failure Prediction in Cloud using Hyper Parameter Tuned MLP

Published:2022-12-16 Issue: Volume: Page:
ISSN:
Container-title:2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)
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Author:

Vani K.¹,Sujatha S.²

Affiliation:

1. Emerald Heights College For Women,Department of computer science,Ooty,India

2. Dr. G.R. Damodaran College of Science,Department of computer science,Coimbatore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10046660/10046669/10047809.pdf?arnumber=10047809

Reference13 articles.

1. An introduction to Grid Search;hewa;Data Driven Investor,2019

2. Estimation of solar radiation using neighboring stations through hybrid support vector regression boosted by Krill Herd algorithm

3. A Failure Prediction Model for Large Scale Cloud Applications using Deep Learning

4. An adaptive fault detector strategy for scientific workflow scheduling based on improved differential evolution algorithm in cloud

5. Effective Fault Tolerance in Cloud Computing Using Hybrid Technique

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Task scheduling approach in fog and cloud computing using Jellyfish Search (JS) optimizer and Improved Harris Hawks optimization (IHHO) algorithm enhanced by deep learning;Cluster Computing;2024-04-13

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