Journal ArticleDOI
Mobile-Edge Computing Architecture: The role of MEC in the Internet of Things.
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TLDR
It can be said that MEC has definitely a window of opportunity to contribute to the creation of a common layer of integration for the IoT world and could pave the way and be natively integrated in the network of tomorrow.Abstract:
Mobile-Edge computing (MEC) is an emerging technology currently recognized as a key enabler for 5G networks. Compatible with current 4G networks, MEC will address many key uses of the 5G system, motivated by the massive diffusion of the Internet of Things (IoT). This article aims to provide a tutorial on MEC technology and an overview of the MEC framework and architecture recently defined by the European Telecommunications Standards Institute (ETSI) MEC Industry Specification Group (ISG) standardization organization. We provide some examples of MEC deployment, with special reference to IoT cases, since IoT is recognized as a main driver for 5G. Finally, we discuss the main benefits and challenges for MEC moving toward 5G.read more
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Journal ArticleDOI
Computing Offloading Strategy in Mobile Edge Computing Environment: A Comparison between Adopted Frameworks, Challenges, and Future Directions
TL;DR: In this paper , the authors summarized the state of the art in task offloading in MEC and provided an outlook on the challenges and future research directions of computational offloading techniques and indicated the suggested direction of follow-up research work.
Proceedings ArticleDOI
Multi-Access Edge Computing: An Overview and Latency Evaluation
TL;DR: In this paper, the authors evaluate the network latency of one service running in a MEC-like environment and compare it with the latency of the same services running in two geographically different cloud locations.
Journal ArticleDOI
A Dueling DQN-Based Computational Offloading Method in MEC-Enabled IIoT Network
TL;DR: This paper addresses the computation offloading problem under a heterogeneously loaded MEC-enabled IIoT network, which specifically applies one-hop offloading for devices and task queue for device and servers and design a dueling deep Q-network-based computation off loading method.
Journal ArticleDOI
Edge Intelligence with Distributed Processing of DNNs: A Survey
TL;DR: In this article , the authors presented an enlightening and novel review of applying distributed processing with data and model parallelism to improve deep learning tasks in edge computing, considering the practicalities and commonly used lightweight models in a distributed system.
Journal ArticleDOI
An MEC Architecture-Oriented Improved RRT Algorithm for Regional Trajectory Planning
TL;DR: In this paper, a road hazard feature-based trajectory planning method is proposed for real-time VANET infrastructure, and an improved Rapidly Exploring Random Tree (RRT) algorithm was proposed for novel regional trajectory planning.