Proactive Fault Prediction and Tolerance in Cloud Computing-Reference-Cited by-同舟云学术

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Proactive Fault Prediction and Tolerance in Cloud Computing

Published:2023 Issue: Volume: Page:527-550
ISSN:2524-7565
Container-title:Algorithms for Intelligent Systems
language:
Short-container-title:

Author:

Pabitha P.,Sandheep N.,Nivitha K.,Praveen R.

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-1620-7_41

Reference42 articles.

1. Abro JH, Li C, Shafiq M, Vishnukumar A, Mewada S, Malpani K, Osei-Owusu J (2022) Artificial intelligence enabled effective fault prediction techniques in cloud computing environment for improving resource optimization. Sci Progr (2022)

2. Ajmal MS, Iqbal Z, Khan FZ, Ahmad M, Ahmad I, Gupta BB (2021) Hybrid ant genetic algorithm for efficient task scheduling in cloud data centers. Comput Electr Eng 95:107,419

3. Alaei M, Khorsand R, Ramezanpour M (2021) An adaptive fault detector strategy for scientific workflow scheduling based on improved differential evolution algorithm in cloud. Appl Soft Comput 99:106,895

4. Ali H, Qureshi MS, Qureshi MB, Khan AA, Zakarya M, Fayaz M (2020) An energy and performance aware scheduler for real-time tasks in cloud datacentres. IEEE Access 8:161,288–161,303

5. Alsadie D (2021) A metaheuristic framework for dynamic virtual machine allocation with optimized task scheduling in cloud data centers. IEEE Access 9:74218–74233

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