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A Probabilistic Offloading Approach in Mobile Edge Computing

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Advances on Broad-Band Wireless Computing, Communication and Applications (BWCCA 2019)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 97))

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Abstract

The mobile edge computing (MEC) is a new paradigm for providing computing at the edge of networks to support wireless devices to offload computational intensive tasks to MEC server for execution. In mobile environment, different users have different sizes of computation tasks with different target latency for smooth running of applications. Moreover, tasks will arrive at the MEC server for execution at different rate depending upon the time of the day or users density. In such varying environment, it is necessary to consider probabilistic approach to offload tasks for successful mobile edge computing. In this paper, we derive successful computation probability, successful communication probability and successful edge computing probability. We then simulate how the successful probabilities change for different sizes of task, target latency and task arrival rate.

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Authors and Affiliations

  1. Iwate Prefectural University, Takizawa City, Iwate, 020-0693, Japan

    Bhed Bahadur Bista, Jiahong Wang & Toyoo Takata

Authors
  1. Bhed Bahadur Bista
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  2. Jiahong Wang
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  3. Toyoo Takata
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Corresponding author

Correspondence to Bhed Bahadur Bista .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Department of Electronics, University of Antwerp, Antwerp, Belgium

    Peter Hellinckx

  3. Rissho University, Tokyo, Japan

    Tomoya Enokido

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Bista, B.B., Wang, J., Takata, T. (2020). A Probabilistic Offloading Approach in Mobile Edge Computing. In: Barolli, L., Hellinckx, P., Enokido, T. (eds) Advances on Broad-Band Wireless Computing, Communication and Applications. BWCCA 2019. Lecture Notes in Networks and Systems, vol 97. Springer, Cham. https://doi.org/10.1007/978-3-030-33506-9_24

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  • DOI: https://doi.org/10.1007/978-3-030-33506-9_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-33505-2

  • Online ISBN: 978-3-030-33506-9

  • eBook Packages: EngineeringEngineering (R0)

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