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(EDGE 2020) Survey of Edge Computing Framework and Some Recommendation

About This Webinar

Abstract: The fast adoption and success of IoT and 5G related technology, accompanied by the ever-increasing critical demand for better QoS, revolutionized the paradigm shift from centralized cloud computing to some combination of distributed edge computing and traditional cloud computing. There are sub- stantial researches and reviews on edge computing, and several industry-specific frameworks were proposed, but general purpose frameworks that could enable speedy utilization of millions of innovated business/IT services worldwide across the entire spectrum of the current computing paradigm is not yet properly addressed. We first proposed a generalized and service-oriented edge computing framework, based on a relatively complete survey of recent publications, then we conducted an in-depth analysis of selected works from both academia and industry aimed to access the maturity, and the gaps in this arena. Finally, we summarize the challenges and opportunities in edge computing, and we hope that this paper can inspire significant future improvements.

Authors: Yiwen Sun and Bihai Zhang (Georgia Institute of Technology, China); Min Luo (Georgia Institute of Technology, USA)

Email: syiwen3@gatech.edu, bzhang433@gatech.edu, mluo60@gatech.edu

Who can view: Everyone
Webinar Price: Free
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Yiwen Sun received his BS in Communication Engineering from Tianjin University,
and he is currently pursuing the MS degree at School of Electrical and Computer Engineering, Georgia Institute of Technology, ShenZhen, China
His current research interests include edge computing and reinforcement learning

Bihai Zhang is currently pursuing the MS degree at School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, USA
His current research interests include edge computing and networking.

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