Machine Learning methods for Cloud Computing

Volume 3 Issue 4 August - October 2016

Research Paper

Machine Learning methods for Cloud Computing

P. Kiran Rao*, R. Sandeep Kumar**

*-** Assistant Professor, Department of Computer Science and Engineering, G. Pullaiah College of Engineering & Technology, Kurnool, AP, India.

Rao. P. K., and Kumar. R. S. (2016). Machine Learning methods for Cloud Computing. i-manager’s Journal on Cloud Computing, 3(4), 7-11. https://doi.org/10.26634/jcc.3.4.13593

Abstract

Due to the huge use of data made available in cloud computing, cloud computing challenged with issues of security on demand application resource management and self-monitoring without latency. This paper explores supervised and unsupervised learning methods on resource provisioning, monitoring, and management topics in cloud computing and examines a number of methods which propose to make use of machine learning to either allow for more self-monitored on demand application resource management or used to know the work level of resources in infinity cloud computing. The authors have also compared regular techniques in resource management in cloud computing like FIFO, VMs cluster management, etc., with machine learning methods.