Effectiveness Review of the Machine Learning Algorithms for Scheduling in Cloud Environment
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11831-023-09921-0.pdf
Reference43 articles.
1. Mohit Kumar SC, Sharma, Anubhav Goel SP, Singh (2019) A comprehensive survey for scheduling techniques in cloud computing. J Netw Comput Appl 143:1–33. https://doi.org/10.1016/j.jnca.2019.06.006
2. AR.Arunarani DManjulaVijayan, Sugumaran (2019) Task scheduling techniques in cloud computing: a literature survey. Future Generation Computer Systems 91:407–415. https://doi.org/10.1016/j.future.2018.09.014
3. Singh S, Chana I (2016) Survey on Resource Scheduling in Cloud Computing:Issues and Challenges. J Grid Computing 14:217–264. https://doi.org/10.1007/s10723-015-9359-2
4. Geetha R, Thilagam T (2021) A review on the effectiveness of Machine Learning and Deep Learning Algorithms for Cyber Security. Arch Computat Methods Eng 28:2861–2879. https://doi.org/10.1007/s11831-020-09478-2
5. Mohammed Abdullahi MA, Ngadi SI, Dishing SM, Abdulhamid BI, Ahmad (2019) “An efficient symbiotic organisms search algorithm with chaotic optimization strategy for multi-objective task scheduling problems in cloud computing environment”,Journal of Network and Computer Applications, vol.133, pp.60–74,
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