A Survey on Machine Learning Based Fault Tolerant Mechanisms in Cloud Towards Uncertainty Analysis

  • K. NivithaEmail author
  • P. Pabitha
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 49)


Cloud computing has the tendency to provide on-demand resources. Recently, there has been a large-scale migration of enterprise applications to the cloud. Any unexpected events that occur in cloud due to its dynamic nature is termed as uncertainty. The most cause of uncertainty can be the unexpected fault that arises in cloud environment. Hence the early detection and recovery of fault can abruptly reduce the uncertainty by enhancing the Quality of Service in cloud applications. This paper discusses the types of faults and failures present in cloud environment and it gives an overview on the existing fault handling mechanisms.


Cloud computing Uncertainty Fault Quality of Service Machine learning 


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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Computer TechnologyMadras Institute of Technology - Anna UniversityChennaiIndia

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