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Principles and Practices for Application-Network Co-Design in Edge Computing

delete2023-09-01
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PRE
AI
R
Ruozhou Yu
G
Guoliang Xue *
DOI:10.1109/MNET.128.2200430delete
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Abstract

Abstract

En 中文
Edge computing promises low-latency and high-throughput real-time processing to enable critical and life-changing future applications such as fully autonomous driving and metaverse, and is receiving wide interest from application designers, service providers and academic researchers. As for now, however, the full power of edge computing has yet been unleashed, as stakeholders face difficulty in realizing the promised services and hence investment and efforts waver. This article describes a new conceptual framework, called the application-network co-design approach, to align and direct efforts across application, computing and networking domains towards fully fledged edge computing. At a high level, we introduce current practices and efforts in edge computing, identify limitations of existing efforts, present the overarching goal and principles of the co-design approach, and discuss existing and future prerequisite technologies for implementing the approach. We illustrate the principles and process of the co-design approach with two compelling edge applications: autonomous driving and virtual/augmented reality for metaverse.
Keywords:
Edge computing
Cloud computing
Costs
Quality of service
Throughput
Stakeholders
Resource management
Real-time systems
Low latency communication
Autonomous systems
Metaverse
Design engineering
Application software
Autonomous driving
Augmented virtuality
Virtual reality

Journal

IEEE Network cover
IEEE Network
IF:
6.3
Papers:
2.6K
Citations:
1.1W

Organization

A
Arizona State University
Scholars:
2.7W
Papers: 2.5W
Citations: 4.2W
N
North Carolina State University
Scholars:
2.6W
Papers: 2.3W
Citations: 3.7W