Journal Article10.1109/MCC.2017.3791021
A Middleware for Mobile Edge Computing
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TL;DR: This paper proposes middleware for running applications over heterogeneous environments, made of telecom networks and legacy data centers, and describes an integrated solution for developing and deploying modular applications in an automatic way.
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Abstract: Telecom operators have recently started to deploy massive computing and storage resources at the very edge of their access networks, hence evolving their infrastructures into large, distributed, and capillary computing environments, capable of placing applications very close to users and terminals and well-suited to effectively fulfill the challenging requirements for delay-sensitive applications. Edge computing is the emerging paradigm that pervasively brings computing in the environment, by shifting processing from data centers to the network edge, allowing a large class of applications in growing fields, like Big Data and the Internet of Things, to be deployed in a very effective way. In this paper, we propose middleware for running applications over heterogeneous environments, made of telecom networks and legacy data centers. We briefly review an emerging architecture for edge computing and describe an integrated solution for developing and deploying modular applications in an automatic way.
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Citations
A survey of multi-access edge computing in 5G and beyond : fundamentals, technology integration, and state-of-the-art.
Quoc-Viet Pham,Fang Fang,Vu Nguyen Ha,Md. Jalil Piran,Mai Le,Long Bao Le,Won-Joo Hwang,Zhiguo Ding +7 more
TL;DR: In this article, the authors provide a comprehensive overview of mobile edge computing (MEC) and its potential use cases and applications, as well as discuss challenges and potential future directions for MEC research.
•Posted Content
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art
Quoc-Viet Pham,Fang Fang,Vu Nguyen Ha,Md. Jalil Piran,Mai Le,Long Bao Le,Won-Joo Hwang,Zhiguo Ding +7 more
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.
430
Machine Learning Meets Computation and Communication Control in Evolving Edge and Cloud: Challenges and Future Perspective
TL;DR: A comprehensive survey on the use of ML in MEC systems is provided, offering an insight into the current progress of this research area and helpful guidance is supplied by pointing out which MEC challenges can be solved by ML solutions, what are the current trending algorithms in frontier ML research and how they could be used in M EC.
267
FogNetSim++: A Toolkit for Modeling and Simulation of Distributed Fog Environment
TL;DR: A new fog simulator called FogNetSim++1 is proposed that provides users with detailed configuration options to simulate a large fog network and enables researchers to incorporate customized mobility models and fog node scheduling algorithms, and manage handover mechanisms.
191
An Air-Ground Integration Approach for Mobile Edge Computing in IoT
TL;DR: A new MEC framework from an air-ground integration perspective is conceived to address the growing demands for massive connectivity, ultra-low latency, and high reliability in various emerging resource-hungry and computation-intensive applications.
98
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