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Modeling and Performance Evaluation of Map Layer Loading in Mobile Edge Computing Paradigm

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Book cover High-Performance Computing and Big Data Analysis (TopHPC 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 891))

Abstract

Mobile Edge Computing (MEC) is a promising technology to prepare cloud services in the vicinity of mobile radio network. Mobile users could offload their tasks to the MEC servers to acquire results in minimum latency. In this paper, we analyze the performance of map layer loading in the MEC paradigm. We show that how workload, connection failure and service rate could influence on the mean response time and job rejection probability. We extract the service architecture of map layer loading in the MEC platform. Each phase is mapped into an M/M/1/C or M/M/K/C queue. The cyclic inter-dependencies among sub-models are resolved by fixed-point iteration technique. Discrete Event Simulation (DES) is conducted to find numerical results for each sub-model. Finally, the behavior of mean response time and job rejection probability as two performance metrics is studied.

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Authors and Affiliations

  1. School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran

    Reza Shojaee & Nasser Yazdani

Authors
  1. Reza Shojaee
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  2. Nasser Yazdani
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Corresponding author

Correspondence to Reza Shojaee .

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Editors and Affiliations

  1. University of Calabria, Rende, Italy

    Lucio Grandinetti

  2. Kharazmi University, Tehran, Iran

    Seyedeh Leili Mirtaheri

  3. University of Calabria, Rende, Italy

    Reza Shahbazian

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Shojaee, R., Yazdani, N. (2019). Modeling and Performance Evaluation of Map Layer Loading in Mobile Edge Computing Paradigm. In: Grandinetti, L., Mirtaheri, S., Shahbazian, R. (eds) High-Performance Computing and Big Data Analysis. TopHPC 2019. Communications in Computer and Information Science, vol 891. Springer, Cham. https://doi.org/10.1007/978-3-030-33495-6_17

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  • DOI: https://doi.org/10.1007/978-3-030-33495-6_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-33494-9

  • Online ISBN: 978-3-030-33495-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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