This paper deals with an access system for end-to-end low latency services in mobile communication systems. The MEC (Mobile Edge Computing) concept was introduced to process information near the user's location, and the virtualization concept was introduced for network flexibility. The system has traffic offloading effect due to path shortening and computing offloading effect due to load sharing. The system thus enables real-time low latency services that are sensitive to response time. This paper presents the design and verification of such a system. The implemented system verified the low latency results through deep learning based video analysis service.
KSP Keywords
Computing offloading, End to End(E2E), Load Sharing, Low latency, Mobile Edge Computing(MEC), Mobile communication systems, Process Information, Real-Time, access network, deep learning(DL), response time
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