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
Citations
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Disclosing Edge Intelligence: A Systematic Meta-Survey
TL;DR: In this article , the authors analyze the wide landscape on edge intelligence by providing a systematic analysis of the state-of-the-art manuscripts in the form of a tertiary study.
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Joint Multi-task Offloading and Resource Allocation for Mobile Edge Computing Systems in Satellite IoT
TL;DR: In this article , the authors proposed a joint multi-task offloading and resource allocation scheme in satellite IoT to improve the offloading efficiency, where tasks are collected and decided by multiple UAV-based aerial base stations, and the edge computing services are provided by satellites.
Journal ArticleDOI
Joint Multi-Task Offloading and Resource Allocation for Mobile Edge Computing Systems in Satellite IoT
TL;DR: In this article , the authors proposed a joint multi-task offloading and resource allocation scheme in satellite IoT to improve the offloading efficiency, where tasks with dependencies were modeled as directed acyclic graphs and an attention mechanism and proximal policy optimization (A-PPO) collaborative algorithm was proposed to learn the best offloading strategy.
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TL;DR: A scalable, layered, NFV based smart city architecture is considered and the optimal location of applications regarding cloud computing and mobile edge computing (MEC) is discussed and a novel concept of dynamic application allocation is introduced.
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