Paper Info
Title
AI AS A MICROSERVICE (AIMS) OVER 5G NETWORKS
Abstract
As data-driven decision-making services are being infused into Internet of Things (IoT) applications, especially at the 5G networks, Artificial Intelligence (AI) algorithms such as deep learning, reinforcement learning, etc. are being deployed as monolithic application services for autonomous decision processes based on data from IoT devices. However, for latency sensitive IoT applications such as health-monitoring or emergency-response applications, it is inefficient to transmit data to the Cloud data centers for storage and AI based processing. In this article, 5G integrated architecture for intelligent IoT based on the concepts of AI as a microservice (AIMS) is presented. The architecture has been conceived to support the design and development of AI microservices, which can be deployed on federated and integrated 5G networks slices to provide autonomous units of intelligence at the Edge of Things, as opposed to the current monolithic IoT-Cloud services. The proposed 5G based AI system is envisioned as a platform for effective deployment of scalable, robust, and intelligent cross-border IoT applications to provide improved quality of experience in scenarios where realtime processing, ultra-low latency and intelligence are key requirements. Finally, we highlight some challenges to give future research directions.
Year
DOI
Venue
2018
10.23919/ITU-WT.2018.8597704
2018 ITU Kaleidoscope: Machine Learning for a 5G Future (ITU K)
Keywords
DocType
ISBN
AIMS,Microservice,AI,5G
Conference
978-1-5386-5607-5
Citations 
PageRank 
References 
0
0.34
8
Authors
3
Name
Order
Citations
PageRank
Gyu Myoung Lee131237.63
Um Tai-won2619.63
Jun-Kyun Choi317543.94