作者: Zhiguo Ding , Won-Joo Hwang , Long Bao Le , Vu Nguyen Ha , Md. Jalil Piran
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摘要: Driven by the emergence of new compute-intensive applications and vision Internet Things (IoT), it is foreseen that emerging 5G network will face an unprecedented increase in traffic volume computation demands. However, end users mostly have limited storage capacities finite processing capabilities, thus how to run on resource-constrained has recently become a natural concern. Mobile edge computing (MEC), key technology fifth generation (5G) network, can optimize mobile resources hosting applications, process large data before sending cloud, provide cloud capabilities within radio access (RAN) close proximity users, offer context-aware services with help RAN information. Therefore, MEC enables wide variety where real-time response strictly required, e.g., driverless vehicles, augmented reality, robotics, immerse media. Indeed, paradigm shift from 4G could reality advent technological concepts. The successful realization still its infancy demands for constant efforts both academic industry communities. In this survey, we first holistic overview potential use cases applications. Then, outline up-to-date researches integration technologies be deployed beyond. We also summarize testbeds experimental evaluations, open source activities, computing. further lessons learned state-of-the-art research works as well discuss challenges future directions research.