[hpc-announce] Call for Papers: Future Generation Computer Systems Special Issue: Artificial Intelligence for Time-critical Computing Systems

Wisser, Grace gwisser at utk.edu
Thu Aug 10 11:18:59 CDT 2023

Future Generation Computer Systems Special Issue
"Artificial Intelligence for Time-critical Computing Systems"


Time-critical computing systems have been crucial in meeting strict deadlines and have been widely used in industries such as automotive and aerospace. However, with the advent of technologies such as integrated circuits, cloud computing, and the Internet of Things (IoT), these systems have seen an exponential growth in deployment and development across a wide range of domains. Specifically, from smart grids and e-health to environment monitoring and autonomous driving, time-critical computing systems have enabled a multitude of applications that have become an integral part of our daily lives. In the meantime, the runtime platforms of these systems have also evolved and expanded, encompassing everything from personal devices like smartphones to large-scale, distributed systems such as cloud computing. This growth has led to the development of advanced hardware and software solutions, but has also created complex issues in terms of efficiency, reliability, security, and privacy. To tackle these challenges, Artificial Intelligence (AI) has emerged as a promising tool in creating more advanced, reliable, and efficient computing systems.

This special issue focuses on the application of Artificial Intelligence (AI) in time-critical computing systems, exploring how AI can be used to optimize performance, design, monitoring, and maintenance. We also seek to address the security and privacy challenges associated with these systems and their applications. The goal is to explore the potential of AI for time-critical computing systems and applications and to advance the state of the art in AI techniques for these systems.

Topics of interest include, but are not limited to:

-Opportunities and challenges of applying AI to time-critical computing systems
-AI-added hardware and device design for time-critical computing systems
-AI-based performance prediction for time-critical computing systems
-AI-based real-time monitoring and control of time-critical computing systems
-AI-based diagnosis and maintenance of time-critical computing systems
-AI-based security and privacy in time-critical computing systems
-AI-based human-machine interaction in time-critical computing systems
-AI for intelligent computing and communication in time-critical computing systems
-AI for task and resource management in time-critical computing systems
-Security and trustworthy considerations in AI-based time-critical computing systems
-Emerging applications supported by AI-based time-critical computing systems


Long Cheng, North China Electric Power University, Beijing, China.
Xiaomin Chen, Northumbria University, Newcastle upon Tyne, UK.
Zhiming Zhao, University of Amsterdam, Amsterdam, The Netherlands.


Deadline for paper submission: September 15, 2023
Latest acceptance deadline for all papers: December 15, 2023


The FGCS’s submission system (https://www.editorialmanager.com/FGCS/default.aspx) will be open for submissions to our Special Issue from April 15, 2023. When submitting your manuscript please select the article type VSI: Time-critical System.

All submissions deemed suitable by the editors to be sent for peer review will be reviewed by at least two independent reviewers. Once your manuscript is accepted, it will go into production to be published in the special issue.

To view a complete list of the Call for Papers for Future Generation Computer Systems Journal, visit: https://www.sciencedirect.com/journal/future-generation-computer-systems/about/call-for-papers

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