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Fault Tolerance in Cloud and Fog Computing—A Holistic View

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Book cover Data Science and Intelligent Applications

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 52))

Abstract

Cloud computing is paramount in information technology, and cloud computing has revolutionized the traditional ways of dealing with IT resources. Fog computing can be used in both large cloud systems and big data structures which is used for solving growing difficulties in information technology. Cloud computing and fog computing are used for large amount of storage, data and applications for the end users. Compared to cloud, fog computing is near to the end users. The major difference between cloud computing and fog computing is that cloud computing is centralized system and fog computing is distributed decentralized infrastructure. Many faults occur in cloud and fog computing, and there are various methods for fault tolerant techniques.

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Author information

Authors and Affiliations

  1. Gandhinagar Institute of Technology, Gandhinagar, Gujarat, India

    Yash Shah, Ekta Thakkar & Sejal Bhavsar

Authors
  1. Yash Shah
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  2. Ekta Thakkar
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  3. Sejal Bhavsar
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Corresponding author

Correspondence to Yash Shah .

Editor information

Editors and Affiliations

  1. Faculty of Engineering, Symbiosis Institute of Technology, Pune, India

    Ketan Kotecha

  2. Department of Computer Science, Università degli Studi di Milano, Milan, Italy

    Vincenzo Piuri

  3. Gandhinagar Institute of Technology, Gandhinagar, Gujarat, India

    Hetalkumar N. Shah

  4. Department of Computer Engineering, Gandhinagar Institute of Technology, Gandhinagar, Gujarat, India

    Rajan Patel

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© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Shah, Y., Thakkar, E., Bhavsar, S. (2021). Fault Tolerance in Cloud and Fog Computing—A Holistic View. In: Kotecha, K., Piuri, V., Shah, H., Patel, R. (eds) Data Science and Intelligent Applications. Lecture Notes on Data Engineering and Communications Technologies, vol 52. Springer, Singapore. https://doi.org/10.1007/978-981-15-4474-3_46

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