학술논문

Towards AI-enabled Cloud Continuum for IIoT: Challenges and Opportunities
Document Type
Conference
Source
2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), 2024 International Conference on. :1-6 Feb, 2024
Subject
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Fields, Waves and Electromagnetics
General Topics for Engineers
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Computer science
Technological innovation
Service robots
Hydroponics
Robot sensing systems
Safety
Artificial intelligence
IIoT
edge continuum
cloud continuum
AI-enabled networking
softwarized networks
Language
Abstract
The last decade has demonstrated an exponential growth in connected devices, particularly at the network edge, and this marked tendency still foresees a increase of the number of connected Internet-of-Things (IoT) devices. Accordingly, the network intelligence is moving from the core and cloud to the edge, establishing a cloud continuum. In this regard, Artificial Intelligence (AI) promotes that evolution and, at the same time, benefits from networking as well. Since Industrial IoT (IIoT) is one of the main verticals of this AI-enabled cloud continuum, in this article we explore the most recent advances in this area, the current status of standards, practical implementations, industry requirements, and, based on that analysis, we list a set of open challenges and opportunities. Our intention is to provide a summarized overview together with specific departing points for researchers in the field.