Safe and Intelligent Embedded Software and Systems

With the constraint of limited resources, embedded systems demand novel security techniques to protect their critical operations. For robustness, various resource-efficient fault tolerance techniques for reliable operations are also needed. On the other hand, Artificial Intelligence/Machine Learning (AI/ML) has become the key enabling technology for many applications, from recommendation systems to facial recogintion. However, the Deep Learning and Deep Reinforcement Learning, as the most effective AI/ML techniques, are generally quite complex where the model training are very computation-intensive and are typically performed offline and in the cloud. Even the runtime model inference may demand significant computing power from the computing platform, which may be a heterogeneous mixture of multicore CPUs, GPUs, DSPs, FPGAs and ASICs. Such complex requirements on safety, security, reliability and intelligence call for innovative security, fault tolerance, and AI/ML techniques for resource-constained embedded systems, such as Internet of Things (IoTs), where many challenging research issues of performance, efficiency, power-consumption, reliability, dependability and security need to be addressed. This special section aims to present a collection of papers on the following topics in the context of safe and intelligent embedded software and systems:

• Novel secure designs for embedded software and systems
• Innovative fault tolerance techniques for embedded software and systems
• Power efficient fault tolerance approaches embedded software and systems
• Intelligent algorithms and architectures for resource-constrained platforms
• AI/ML techniques for specialized heteorgenos platforms with GPUs/DSPs/FPGAs
• Performance optimization for safe and intelligent embedded systems

All original manuscripts that fit within the scope are welcome. Authors of selected papers presented at the 2020 IEEE International Conference on Embedded Software and Systems (ICESS) are especially encouraged to submit to this SI.

Submission Details:

General information for submitting papers to JSA can be found at https://www.journals.elsevier.com/journal-of-systems-architecture (please note the “Guide for Authors” link). Submissions to this Special Issue (SI) should be made using Elsevier’s editorial system at the journal website (https://www.evise.com/profile/api/navigate/JSA), under the “Submit Your Paper” link). Please select the “SI:SIESS20” option as the type of the paper during the submission process.

JSA has adopted the Virtual Special Issue model to speed up the publication process, where Special Issue papers are published in regular issues, but marked as SI papers. Acceptance decisions are made on a rolling basis. Therefore, authors are encouraged to submit papers early, and need not wait until the submission deadline.

Important Dates:

Submission of manuscripts: Feb. 1, 2021

Notification to authors: May 1, 2021

Guest Editors:

Dakai Zhu
Department of Computer Science
The University of Texas at San Antonio, USA
Email: Dakai.Zhu@utsa.edu

Nathan Fisher
Department of Computer Science
Wayne State University, USA
Email: fishern@cs.wayne.edu

Zili Shao
Department of Computer Science and Engineering
The Chinese University of Hong Kong
Email: shao@cse.cuhk.edu.hk

Cong Liu
Department of Computer Science
The University of Texas at Dallas, USA
Email: cong@utdallas.edu