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Performance Evaluation and Energy Efficient VM Placement for Fog-Assisted IoT Environment

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Energy Conservation Solutions for Fog-Edge Computing Paradigms

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 74))

Abstract

The uses of Internet of Things (IoT) devices and sensors have been increasing day by day. In order to provide storage and computational needs for time-sensitive applications low powered end devices which use IoT devices and sensors, a new computing paradigm “Fog Computing” has come into the picture. Virtual machines (VMs) inside the fog nodes are responsible for immediate processing and analyzing the IoT workloads. One of the open research problems is to efficiently scalable the fog centers so that a minimum number of client requests can be renege from the fog system. The service providers are intended to retain the client requests in the fog system by providing efficient services. In this chapter, a multi-server queuing system having reneging with retention policy is modeled to measure the several performance measures of the fog system. The profit and revenue of the system are analyzed. Further, an efficient greedy-based VM placement scheme GVMP is proposed to optimize the energy consumption of the fog centers. The efficiency of the algorithm GVMP is compared with the state of art algorithms such as FFD, BFD, RR and MBFD.

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Author information

Authors and Affiliations

  1. School of Computer Applications, KIIT Deemed to be University, Bhubaneswar, India

    Sudhansu Shekhar Patra & Rabindra Kumar Barik

  2. Department of Computer Science and Engineering, G. B. Pant Government Engineering College, New Delhi, India

    Mamta Mittal

  3. Department of Electronics and Communication Engineering, Karunya University, Coimbatore, Tamil Nadu, India

    D. Jude Hemantha

  4. School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, India

    Mahmoud A. L. Ahmad

Authors
  1. Sudhansu Shekhar Patra
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  2. Mamta Mittal
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  3. D. Jude Hemantha
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  4. Mahmoud A. L. Ahmad
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  5. Rabindra Kumar Barik
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Editor information

Editors and Affiliations

  1. Department of Virtualization, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India

    Rajeev Tiwari

  2. Department of Computer Science and Engineering, G. B. Pant Government Engineering College, New Delhi, India

    Mamta Mittal

  3. Department of Computer Engineering, J. C. Bose University of Science and Technology, Faridabad, Haryana, India

    Lalit Mohan Goyal

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Patra, S.S., Mittal, M., Jude Hemantha, D., Ahmad, M.A.L., Barik, R.K. (2022). Performance Evaluation and Energy Efficient VM Placement for Fog-Assisted IoT Environment. In: Tiwari, R., Mittal, M., Goyal, L.M. (eds) Energy Conservation Solutions for Fog-Edge Computing Paradigms. Lecture Notes on Data Engineering and Communications Technologies, vol 74. Springer, Singapore. https://doi.org/10.1007/978-981-16-3448-2_7

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  • DOI: https://doi.org/10.1007/978-981-16-3448-2_7

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-3450-5

  • Online ISBN: 978-981-16-3448-2

  • eBook Packages: EngineeringEngineering (R0)

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