The aim of this handbook is to summarize the recent rapidly developed real-time computing technologies, from theories to applications. This handbook benefits the readers as a full and quick technical reference with a high-level historic review of technology, detailed technical descriptions and the latest practical applications. In general, the handbook is divided into three main parts (subjected to be modified): theory, design, and application covering different but not limited to the following topics:
- Real-time operating systems
- Real-time scheduling
- Timing analysis
- Programming languages and run-time systems
- Middleware systems
- Design and analysis tools
- Real-time aspects of wireless sensor networks
- Energy aware real-time methods
Professor Yu-Chu Tian is a Professor of Computer Science and the Head of the NetCom Discipline within the School of Electrical Engineering and Computer Science (EECS) at Queensland University of Technology (QUT). He is an Australia Research Council CoE recognized Expert of International Standing, and an Assessor for research grant applications and research quality evaluation for ARC and several other funding agencies and organizations. He is a member of IEEE, IEAust, and IChemE. As an Associate Editor, he is serving the journal of Information Sciences published by Elsevier and Asia-Pacific Journal of Chemical Engineering published by Wiley. He is an ACM Reviewer for Computing Reviews. He is also acting as a Reviewer for a number of international journals. He is a technology provider to several Australian companies for complex systems engineering, real-time/embedded systems, and intelligent systems and robotics. Dr Tian is currently supervising 9 PhD/Masters students and several postdoc/visiting research fellows.
Professor Tian received the B.E. degree in Electrical Engineering (industrial automation) from Wuhan Institute of Technology, China, in 1982, the M.E. degree in Electrical Engineering (industrial automation/systems engineering) from East China University of Science and Technology, China, in 1987, the Ph.D. degree in Electrical Engineering (Industrial Automation/Intelligent Control and Decision) from Zhejiang University, China, in 1993, and the Ph.D. degree in Computer and Software Engineering from The University of Sydney, Australia, in 2009.
Professor Tian joined the Naval Academy of Engineering, China, in 1987, as a Lecturer in systems engineering. From 1994 to 1998, he worked at the Department of Electrical Engineering and the Institute of Industrial Process Control, Zhejiang University, China, where he was promoted to Associate Professor in Electrical Engineering in 1995. From 1996 to 1998, he was on leave from Zhejiang University to Hong Kong University of Science and Technology, as a Research Associate working on complex systems and process control. He moved to Australia in 1998, working as a Research Fellow at Curtin University of Technology. In 1999, he was elected as one of the four Western Australia Strategic Research Fellows. Since 2002, he has been working at Queensland University of Technology, Brisbane, Australia, initially as a Lecturer, later as a Senior Lecturer, the Networking Teaching Group Leader and Associate Professor in Computer Science, and currently as a Professor of Computer Science and the Head of the Discipline of Networks and Communications (NetCom). He also worked as a visiting professor in 2007 at the Department of Computer Science, The University of Maryland at College Park, USA.
Professor Tian received the prestigious Outstanding Young Researcher Award from Zhejiang Province in 1995 while working at Zhejiang University. He also won the Western Australia State Government Strategic Research Fellowship in 1999.
As the Chief Investigator, Professor Tian has won/completed over 20 research grants and projects, including 5 funded by Australian Research Council (ARC), 2 funded by Australian Cooperative Research Centre (CRC) and 1 funded by Australian Government Department of Education, Science and Training (DEST). He holds a patent on real-time control of large-scale and continuous galvanizing line. He has published a monograph on computation of mathematical models for complex industrial processes. He has also credited over 160 refereed papers in his publication record.
David C Levy is an Honorary Associate Professor in the School of Electrical and Information Engineering at the University of Sydney. He was Head of the disciplines of Computer and Software Engineering and Head of School prior to his leaving to pursue a private consulting career. He now acts as a technical advisor to two start-ups, does some occasional teaching in Australia and China and continues to supervise several graduate research projects. He has supervised over 50 graduate students to completion, received grants totaling in excess of 2.5 million and been on the organizing committee of 17 conferences, chairing 6, He is a member of the IEEE, ACM and served on the CDIO Council and on the Real Time Architectures committee of IFAC. He has acted as an assessor for grant applications in South Africa and Australia and has served as a reviewer for many conference papers.
Dr Levy received the B.E. degree in Electrical Engineering from the University of Natal, Durban, South Africa in 1970, followed by the MSc and PhD from the same institution. He taught Electronic Engineering at the University of Natal, with stints at the Technion, Israel and Clemson, USA. After an extended visit to the CSIRO in Australia, Dr Levy took up a position at the University of Sydney in 1994 where he led major curriculum revisions and served as Head of School.
Dr Levy holds two patents on embedded systems for chemical sensors. He has over 200 refereed papers on his publication record, along with a book and two book chapters.
