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

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Proceeding of the International Conference on Computer Networks, Big Data and IoT (ICCBI - 2019) (ICCBI 2019)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 49))

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Abstract

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.

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Authors and Affiliations

  1. Department of Computer Technology, Madras Institute of Technology - Anna University, Chennai, India

    K. Nivitha & P. Pabitha

Authors
  1. K. Nivitha
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  2. P. Pabitha
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Correspondence to K. Nivitha .

Editor information

Editors and Affiliations

  1. Department of CSE, Vaigai College of Engineering, Melur, Tamil Nadu, India

    A. Pasumpon Pandian

  2. Department of Business Administration, The Gerald Schwartz School of Business, StFX University, Antigonish, NS, Canada

    Ram Palanisamy

  3. Electrical and Computer Engineering, University of Applied Sciences, Egaleo, Attiki, Greece

    Klimis Ntalianis

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Nivitha, K., Pabitha, P. (2020). A Survey on Machine Learning Based Fault Tolerant Mechanisms in Cloud Towards Uncertainty Analysis. In: Pandian, A., Palanisamy, R., Ntalianis, K. (eds) Proceeding of the International Conference on Computer Networks, Big Data and IoT (ICCBI - 2019). ICCBI 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 49. Springer, Cham. https://doi.org/10.1007/978-3-030-43192-1_2

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