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Mathematical Modeling of QoS-Aware Fog Computing Architecture for IoT Services

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Emerging Technologies in Data Mining and Information Security

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 814))

Abstract

The fog computing approach has come up as a distributed mechanism for capturing of data, its further processing, and allocation of resources associated with the Internet of things (IoT). The IoT services require several quality of service (QoS) parameters such as bandwidth utilization, resource provisioning, energy consumption, service delay. A new architecture for fog computing based on QoS parameters has been designed. A distributed solution for cloud-IoT has been presented where data is distributed optimally among several fog nodes/mini-clouds. The virtual machines (VMs) located in the edge devices are facilitated by these distributed fog nodes/mini-clouds to take care of IoT traffic. However, very little research has been done on designing any QoS-aware architecture for fog computing. The mathematical formulation for the presented model has also been proposed, and hence, the performance analysis of the system is shown in terms of the QoS metrics.

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Acknowledgements

This research was supported by Media Lab Asia (Visvesvaraya Ph.D. Scheme for Electronics and IT, Project Code-CSVSE) under the department of MeitY, Government of India and carried out at Cloud Computing Research Laboratory, Department of CSE, National Institute of Technology Rourkela, India.

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Authors and Affiliations

  1. National Institute of Technology, Rourkela, 769008, Odisha, India

    Prasenjit Maiti, Jaya Shukla, Bibhudatta Sahoo & Ashok Kumar Turuk

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  1. Prasenjit Maiti
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  2. Jaya Shukla
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  3. Bibhudatta Sahoo
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Correspondence to Prasenjit Maiti .

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Editors and Affiliations

  1. Machine Intelligence Research Labs, Auburn, WA, USA

    Ajith Abraham

  2. Department of Computer and Systems Sciences, Visva-Bharati University, Santiniketan, West Bengal, India

    Paramartha Dutta

  3. Department of Computer Science and Engineering, University of Kalyani, Kalyani, India

    Jyotsna Kumar Mandal

  4. Institute of Engineering and Management, Kolkata, West Bengal, India

    Abhishek Bhattacharya

  5. Institute of Engineering and Management, Kolkata, West Bengal, India

    Soumi Dutta

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Maiti, P., Shukla, J., Sahoo, B., Turuk, A.K. (2019). Mathematical Modeling of QoS-Aware Fog Computing Architecture for IoT Services. In: Abraham, A., Dutta, P., Mandal, J., Bhattacharya, A., Dutta, S. (eds) Emerging Technologies in Data Mining and Information Security. Advances in Intelligent Systems and Computing, vol 814. Springer, Singapore. https://doi.org/10.1007/978-981-13-1501-5_2

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