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Aggressive Fault Tolerance in Cloud Computing Using Smart Decision Agent

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Proceedings of the International Conference on Big Data, IoT, and Machine Learning

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 95))

Abstract

Application of cloud computing is increasing gradually. It is a useful model for a collection of configurable computing resources such as data-centers, servers, data storage and application services in real-time. Due to the emergence of cloud computing, providing reliable service becomes vital issue. Transient faults may affect temporary unavailability of services and timeout to get response. These types of faults can be catastrophic in cloud applications such as, scientific research, financial and safety critical applications. To reduce the effect of such errors, a fault tolerant mechanism is required. We propose an aggressive fault tolerant (AFT) technique to detect and recover from faults in cloud environment. Aggressive fault detection and recovery module detects faults and recovers from these faults using a smart decision agent. A smart decision agent takes decision on different types of hardware, software and communication faults. It reduces complexity and improves performance of fault tolerant schemes compared with other existing techniques such as checkpointing, resubmission and replication techniques. The proposed scheme achieves 98.7% error coverage while it is 1.5 times faster than checkpointing, 2.0 times faster than resubmission and 2.5 times faster than replication technique.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Dhaka University of Engineering and Technology, Gazipur, Bangladesh

    Md. Mostafijur Rahman & Mohammad Abdur Rouf

Authors
  1. Md. Mostafijur Rahman
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  2. Mohammad Abdur Rouf
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Corresponding author

Correspondence to Mohammad Abdur Rouf .

Editor information

Editors and Affiliations

  1. Chittagong University of Engineering and Technology (CUET), Chittagong, Bangladesh

    Mohammad Shamsul Arefin

  2. Jahangirnagar University, Dhaka, Bangladesh

    M. Shamim Kaiser

  3. National Institute for Materials Science, Tsukuba, Japan

    Anirban Bandyopadhyay

  4. University of Dhaka, Dhaka, Bangladesh

    Md. Atiqur Rahman Ahad

  5. Amity University, Jaipur, India

    Kanad Ray

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Rahman, M.M., Rouf, M.A. (2022). Aggressive Fault Tolerance in Cloud Computing Using Smart Decision Agent. In: Arefin, M.S., Kaiser, M.S., Bandyopadhyay, A., Ahad, M.A.R., Ray, K. (eds) Proceedings of the International Conference on Big Data, IoT, and Machine Learning. Lecture Notes on Data Engineering and Communications Technologies, vol 95. Springer, Singapore. https://doi.org/10.1007/978-981-16-6636-0_26

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  • DOI: https://doi.org/10.1007/978-981-16-6636-0_26

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-6635-3

  • Online ISBN: 978-981-16-6636-0

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