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.
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Sun, C., Li, T., Wu, Z., Li, C. (2023). A Middleware-Based Approach for Latency-Sensitive Service Provisioning in IoT with End-Edge Cooperation. In: Li, R., Jia, M., Taleb, T. (eds) Mobile Wireless Middleware, Operating Systems and Applications. MOBILWARE 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 507. Springer, Cham. https://doi.org/10.1007/978-3-031-34497-8_1
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DOI: https://doi.org/10.1007/978-3-031-34497-8_1
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