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A Microservices Oriented Edge Computing Framework for LVC Simulation in the IoT Era

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Kai YangAuthors Info & Claims

ICCMS '19: Proceedings of the 11th International Conference on Computer Modeling and Simulation

Pages 190 - 195

https://doi.org/10.1145/3307363.3307388

Published: 16 January 2019 Publication History

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Abstract

Modeling and simulation are essential methods to better understand a complex system in the real world. Many simulation systems have strong demand for involving physical devices or equipment in the system to improve the fidelity. But most of the current cloud based simulation systems are designed for equipment with adequate resources and suffering from high latency for their centralized communication. Edge computing is getting much attention as a new paradigm for distributed systems involving heterogeneous devices and requiring real-time communication. However, edge computing is still in its initial stage and there is no consensus on the edge framework and implementation. To the best of our knowledge, no detailed studies have explored the edge-side simulation and modeling. In this paper, we study and design an edge-side simulation framework, which exploits light-weight microservices architecture to build scalable and real-time LVC (Live, Virtual and Constructive) simulations. Specifically, the application model is designed to illustrate how LVC simulation integrates with edge computing and cloud computing. The autonomous negotiation service and time synchronization services are discussed in details. Though it is a preliminary edge computing framework for LVC simulation, no similar research has been conducted for modeling and simulation using edge computing.

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Deng ZCai MXiong C(2023)An Architecture Integrity Simulation Evaluation Method for an Autonomous Transportation System Based on an Information-Triggered Collaboration MechanismIEEE Intelligent Transportation Systems Magazine10.1109/MITS.2023.327250115:5(120-133)Online publication date: Sep-2023
https://doi.org/10.1109/MITS.2023.3272501
Rathore NRajavat A(2022)Scalable Edge Computing Environment Based on the Containerized Microservices and MinikubeInternational Journal of Software Science and Computational Intelligence10.4018/IJSSCI.31256014:1(1-14)Online publication date: 21-Oct-2022
https://dl.acm.org/doi/10.4018/IJSSCI.312560
Rathore NRajavat A(2022)Evaluating the Performance of Monolithic and Microservices Architectures in an Edge Computing EnvironmentInternational Journal of Fog Computing10.4018/IJFC.3091395:1(1-18)Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.4018/IJFC.309139
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Index Terms

A Microservices Oriented Edge Computing Framework for LVC Simulation in the IoT Era
1. Computer systems organization
  1. Architectures
    1. Distributed architectures
      1. n-tier architectures
2. Information systems
  1. Information systems applications
    1. Computing platforms

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ICCMS '19: Proceedings of the 11th International Conference on Computer Modeling and Simulation

January 2019

253 pages

ISBN:9781450366199

DOI:10.1145/3307363

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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University of Wollongong, Australia
College of Technology Management, National Tsing Hua University, Taiwan
Swinburne University of Technology
University of Technology Sydney

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Association for Computing Machinery

New York, NY, United States

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Published: 16 January 2019

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Equipment Pre-Research Field Foundation
National Nature Science Foundation of China

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ICCMS 2019

ICCMS 2019: The 11th International Conference on Computer Modeling and Simulation

January 16 - 19, 2019

QLD, North Rockhampton, Australia

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Deng ZCai MXiong C(2023)An Architecture Integrity Simulation Evaluation Method for an Autonomous Transportation System Based on an Information-Triggered Collaboration MechanismIEEE Intelligent Transportation Systems Magazine10.1109/MITS.2023.327250115:5(120-133)Online publication date: Sep-2023
https://doi.org/10.1109/MITS.2023.3272501
Rathore NRajavat A(2022)Scalable Edge Computing Environment Based on the Containerized Microservices and MinikubeInternational Journal of Software Science and Computational Intelligence10.4018/IJSSCI.31256014:1(1-14)Online publication date: 21-Oct-2022
https://dl.acm.org/doi/10.4018/IJSSCI.312560
Rathore NRajavat A(2022)Evaluating the Performance of Monolithic and Microservices Architectures in an Edge Computing EnvironmentInternational Journal of Fog Computing10.4018/IJFC.3091395:1(1-18)Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.4018/IJFC.309139
Santana CAndrade LDelicato FPrazeres C(2020)Increasing the availability of IoT applications with reactive microservicesService Oriented Computing and Applications10.1007/s11761-020-00308-815:2(109-126)Online publication date: 10-Nov-2020
https://dl.acm.org/doi/10.1007/s11761-020-00308-8

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