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Mobile Wireless Middleware, Operating Systems and Applications. 11th EAI International Conference, MOBILWARE 2022, Virtual Event, December 28-29, 2022, Proceedings

Research Article

A Middleware-Based Approach for Latency-Sensitive Service Provisioning in IoT with End-Edge Cooperation

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-34497-8_1,
        author={Canlong Sun and Ting Li and Zihao Wu and Cong Li},
        title={A Middleware-Based Approach for Latency-Sensitive Service Provisioning in IoT with End-Edge Cooperation},
        proceedings={Mobile Wireless Middleware, Operating Systems and Applications. 11th EAI International Conference, MOBILWARE 2022, Virtual Event, December 28-29, 2022, Proceedings},
        proceedings_a={MOBILWARE},
        year={2023},
        month={5},
        keywords={Edge Computing Middleware Latency-Sensitive Service IoT},
        doi={10.1007/978-3-031-34497-8_1}
    }
    
  • Canlong Sun
    Ting Li
    Zihao Wu
    Cong Li
    Year: 2023
    A Middleware-Based Approach for Latency-Sensitive Service Provisioning in IoT with End-Edge Cooperation
    MOBILWARE
    Springer
    DOI: 10.1007/978-3-031-34497-8_1
Canlong Sun1,*, Ting Li1, Zihao Wu1, Cong Li2
  • 1: The 705 Research Institute of China State Shipbuilding Corporation Limited
  • 2: Xi’an Institute of Optics and Precision Mechanics, CAS
*Contact email: 362028257@qq.com

Abstract

As modern mobile applications have become more and more complex, mobile edge computing brings IT services and computing resources to the edge of mobile networks to full fill various computing and application requirements. Considering that mobile devices may not always have adequate hardware conditions, computation offloading, which can help devices take full advantage of extra computing resources, has reached a broad audience in the edge environments. However, due to the limited storage space of edge servers, it is very difficult to manage services in middleware. Therefore, in the edge computing environment, how to deal with a large amount of data from different edge nodes in the middleware is very important. In this paper, we regard an approach about improving quality of sensitive data for middleware on edge environments. We have evaluated our approaches on a real-world environment. The results demonstrate that our approach can effectively reduce the response time.

Keywords
Edge Computing Middleware Latency-Sensitive Service IoT
Published
2023-05-24
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-34497-8_1
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