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MobileEdgeSim: A Tool for Simulating Microservice-Oriented Mobile Edge Computing

Published: 24 July 2024 Publication History

Abstract

Mobile edge computing (MEC) is an emerging computing paradigm receiving growing attention. MEC significantly reduces latency by processing user requests on edge servers rather than cloud centers, making it ideal for real-time applications. However, due to resource limitations and user mobility, microservice requests may fail, especially when users move at high speeds. This paper introduces a new tool, MobileEdgeSim, to simulate microservice-oriented MEC environments. MobileEdgeSim integrates mobility prediction and service composition to enhance the pre-deployment of microservices. To evaluate MobileEdgeSim, we conducted a series of experiments comparing it to several state-of-the-art baseline approaches. We also conducted a user study to evaluate the tool’s effectiveness in real-world scenarios. Our results indicate that MobileEdgeSim significantly improves the success rate of both user requests and responses while reducing resource costs. MobileEdgeSim is available at https://github.com/ssea-lab/MobileEdgesim.

References

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Y. Hu, M. Patel, D. Sabella, N. Sprecher, and V. Young. 2015. Mobile edge computing—A key technology towards 5G. ETSI White Paper 11, 11 (2015), 1–16.
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B. Li, Q. He, G. Cui, X. Xia, F. Chen, H. Jin, and Y. Yang. 2022. READ: Robustness-Oriented Edge Application Deployment in Edge Computing Environment. IEEE Trans. Serv. Comput. 15, 3 (2022), 1746–1759.
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  1. MobileEdgeSim: A Tool for Simulating Microservice-Oriented Mobile Edge Computing

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    cover image ACM Conferences
    Internetware '24: Proceedings of the 15th Asia-Pacific Symposium on Internetware
    July 2024
    518 pages
    ISBN:9798400707056
    DOI:10.1145/3671016
    Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Published: 24 July 2024

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    Author Tags

    1. Mobile Edge Computing
    2. Mobility Prediction
    3. Service Deployment.

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