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An Adaptive Service Placement Framework in Fog Computing Environment

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Advances in Computing and Data Sciences (ICACDS 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1440))

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Abstract

In the present scenario, the world is poignant towards smart devices, particularly after the Internet of Things (IoT). The IoT devices usually accumulate the data from the sensing environment. It has inhibited the capabilities of computation and storage. This leads to an increase in IoT integration with cloud computing operations. Fog computing is the extension of cloud computing environment and enhances the performance of the cloud. The main concern in fog computing is basically the reliability of the fog nodes that communicates with the various IoT devices and further with the cloud. In this work, we have proposed a fault detection framework with service placement to efficient fog node. This model implements an Adaptive Quality of Service (QoS) conscious technique with the amalgamation of two methods i.e. Checkpoints and Replication(CR) and utilize a novel Bee mutation(BM) algorithm with improved features for best possible service placement to fog node. In the proposed technique, the performance of the fog nodes is monitored using a fog service monitor. We have also evaluated the proposed framework with various metrics for its performance. The proposed framework is also compared with the existing algorithm based framework. The total execution cost and usage of network of the proposed model are about 84023 USD and 618950 Mbps, respectively.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Jaypee University of Information Technology, Solan, 173 234, HP, India

    Pankaj Sharma & P. K. Gupta

Authors
  1. Pankaj Sharma
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  2. P. K. Gupta
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Correspondence to P. K. Gupta .

Editor information

Editors and Affiliations

  1. University of KwaZulu-Natal, Durban, South Africa

    Mayank Singh

  2. Jaypee University of Engineering and Technology, Guna, Madhya Pradesh, India

    Vipin Tyagi

  3. Jaypee University of Information Technology, Waknaghat, Himachal Pradesh, India

    P. K. Gupta

  4. Institute of Information Theory and Automation, Prague, Czech Republic

    Jan Flusser

  5. University of Ottawa, Ottawa, ON, Canada

    Tuncer Ören

  6. MVPS's Karmaveer Adv. Baburao Ganpatrao Thakare College of Engineering, Nashik, Maharashtra, India

    V. R. Sonawane

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Sharma, P., Gupta, P.K. (2021). An Adaptive Service Placement Framework in Fog Computing Environment. In: Singh, M., Tyagi, V., Gupta, P.K., Flusser, J., Ören, T., Sonawane, V.R. (eds) Advances in Computing and Data Sciences. ICACDS 2021. Communications in Computer and Information Science, vol 1440. Springer, Cham. https://doi.org/10.1007/978-3-030-81462-5_64

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  • DOI: https://doi.org/10.1007/978-3-030-81462-5_64

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-81461-8

  • Online ISBN: 978-3-030-81462-5

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