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Ubiquitous intelligent edge computing

The proliferation of Internet of things (IoT) and the burgeoning of 5G networks will generate a larger volume of data than has been previously possible. This advance in technology will see hundreds of applications  deployed at the edge to consume this data. As a distributed computing paradigm that computation is largely or completely performed on distributed device nodes, ubiquitous intelligent edge computing (UIEC) refers to the rapid development of artificial intelligence and edge computing resources to support real-time insights and analyses for applications. UIEC brings memory, computing power and intelligence closer to the location where it is needed, reduces the volumes of data that must be moved, the consequent traffic, and the distance the data must travel. As an emerging intelligence computing paradigm, UIEC mainly involves satisfying the intelligent service requirements to adapt machine learning, fog computing, computer vision, and natural language processing. Thus UIEC can accelerate the content deliveries and improve the quality of mobile services and applications, which is attracting more and more interest from academia and industry because of its advantages in throughput, delay, network scalability and intelligence. Meanwhile, UIEC also brings us new challenges, such as costs, communications, data moving and management, intelligent analysis and decisions, security and privacy issues.

Edited by:

Rongbo Zhu, South-Central University for Nationalities, China
Ashiq Anjum, University of Derby, UK
Maode Ma, Nanyang Technological University, Singapore
Xiazhu Liu, Wuhan University of Technology, China