PSI: Pervasive Self-Optimizing Computing Infrastructures
This project aims to provide a collection of software components that can dynamically optimize the IIoT infrastructure. PSI aims to improve resource use of the system through continuous and distributed system-wide optimizations.
Concluded
Start
2021-01-01
Conclusion
2024-12-31
Main financing
Research area
Research group
Project manager at MDU
The amount of data we produce daily is increasing exponentially thanks to the emergence of new technologies such as the Internet of Things (IoT) and Industrial IoT (IIoT). With such growth, the demands on the computing platforms increase significantly and require new and more efficient solutions for the management of the IoT infrastructure. This requires new solutions to (i) efficiently utilize the entire computing infrastructure, (ii) scale to larger data sets that cannot be moved to data centers for processing, and (iii) meet the predictability and time requirements of IIoT.
PSI (Pervasive Self-Optimizing Computing Infrastructures) aims to provide a collection of software components that can dynamically optimize the IIoT infrastructure. PSI aims to improve resource use of the system through continuous and distributed system-wide optimizations.
The project includes both theoretical and practical aspects, and it combines different research areas such as self-adapting software, control technology, optimization, distributed and real-time systems. The main goal of the project is to develop new methods for efficient use of computing resources while providing guarantees for various important performance indicators, such as response time and computing bandwidth of the system. The project will provide potentially significant progress in both the research community and in industrial applications.