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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5G Enabling Technologies: Revolutionizing Transport, Environment, and Health
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Maximum Task Admission by Computing Offloading to Mobile Edge Networks
TL;DR: This work adopts another method to maximize the admission of mobile users' tasks to meet the service requirements and proves that the approximate ratio of its solution to the optimal solution of the problem of maximizing task admission in MEC is bounded.
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TL;DR: In this article, the authors designed a rural social security system based on deep learning algorithms, using sample collection and statistical analysis methods, collecting samples, simplifying the algorithm, and establishing a new rural Social Security system.
Journal ArticleDOI
Efficient of Floading Approach for Resource Allocation and Optimization in Mobile Edge Computing Environment
C. Anuradha,M. Ponnavaikko +1 more
TL;DR: The cloudsim simulation tool has been utilized to implement the offload balancing mechanism to decrease the energy consumption and optimize the computing resource allocation as well as improve computing capability.