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Mobile Edge Computing Platform Deployment in 4G {LTE} Networks: A Middlebox Approach

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TLDR
This paper proposes an MEC platform deployment solution in 4G LTE networks using a middlebox approach that is standard-compliant and transparent to existing cellular network components, so they need not be modified.
Abstract
Low-latency demands for cellular networks have attracted much attention. Mobile edge computing (MEC), which deploys a cloud computing platform at the edge closer to mobile users, has been introduced as an enabler of low-latency performance in 4G and 5G networks. In this paper, we propose an MEC platform deployment solution in 4G LTE networks using a middlebox approach. It is standard-compliant and transparent to existing cellular network components, so they need not be modified. The MEC middlebox sits on the S1 interface, which connects an LTE base station to its core network, and does traffic filtering, manipulation and forwarding. It enables the MEC service for mobile users by hosting application servers. Such middlebox approach can save deployment cost and be easy to install. It is different from other studies that require modifications on base stations or/and core networks. We have confirmed its viability through a prototype based on the OpenAirInterface cellular platform.

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All one needs to know about fog computing and related edge computing paradigms: A complete survey

TL;DR: This paper provides a tutorial on fog computing and its related computing paradigms, including their similarities and differences, and provides a taxonomy of research topics in fog computing.
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Convergence of Edge Computing and Deep Learning: A Comprehensive Survey

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Convergence of Edge Computing and Deep Learning: A Comprehensive Survey

TL;DR: In this paper, a survey on the relationship between edge intelligence and intelligent edge computing is presented, and the practical implementation methods and enabling technologies, namely DL training and inference in the customized edge computing framework, challenges and future trends of more pervasive and fine-grained intelligence.
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All One Needs to Know about Fog Computing and Related Edge Computing Paradigms: A Complete Survey

TL;DR: In this paper, the authors provide a tutorial on fog computing and its related computing paradigms, including their similarities and differences, and provide a taxonomy of research topics in fog computing.
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A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art

TL;DR: This survey provides a holistic overview of MEC technology and its potential use cases and applications, and outlines up-to-date researches on the integration of M EC with the new technologies that will be deployed in 5G and beyond.
References
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Journal ArticleDOI

A Survey on Mobile Edge Computing: The Communication Perspective

TL;DR: A comprehensive survey of the state-of-the-art MEC research with a focus on joint radio-and-computational resource management is provided in this paper, where a set of issues, challenges, and future research directions for MEC are discussed.
Posted Content

A Survey on Mobile Edge Computing: The Communication Perspective

TL;DR: A comprehensive survey of the state-of-the-art MEC research with a focus on joint radio-and-computational resource management and recent standardization efforts on MEC are introduced.
Journal ArticleDOI

Mobile Edge Computing: A Survey on Architecture and Computation Offloading

TL;DR: In this paper, the authors present a survey of the research on computation offloading in mobile edge computing (MEC), focusing on user-oriented use cases and reference scenarios where the MEC is applicable.
Journal ArticleDOI

On Multi-Access Edge Computing: A Survey of the Emerging 5G Network Edge Cloud Architecture and Orchestration

TL;DR: This paper analyzes the MEC reference architecture and main deployment scenarios, which offer multi-tenancy support for application developers, content providers, and third parties, and elaborates further on open research challenges.
Proceedings ArticleDOI

A survey on mobile edge computing

TL;DR: In this paper, some of the promising real time Mobile Edge Computing application scenarios are discussed and a state-of-the-art research efforts on Mobile Edge computing domain is presented.
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