Complex systems are today constructed using a large number of collaborating units, e.g., a production line of industrial robots or a set of autonomous vehicles that in collaboration aim at achieving a common mission. Orchestrating such collaborative and adaptive systems impose requirements on both timing and safety. This is challenging and suggests a consolidation of system components to manage the ever-increasing system complexity. The main goal of FIESTA is to develop new solutions that provide scalable real-time performance, in the context of collaborative and adaptive distributed legacy systems, by utilizing resource efficient consolidation while ensuring non-functional properties of timing, safety and security. Achieving such a goal will require addressing very different but complementing challenges concerning nodes, networks and distributed systems.
FIESTA research and development will be conducted in co-production among Mälardalen University, ABB Robotics, ABB HVDC / Hitachi, Volvo CE, Arcticus Systems, and Percepio, leveraging and advancing state-of-the-art solutions to manage consolidation in the evolution of legacy (networked) embedded software systems with real-time requirements. These legacy systems come from ABB Robotics, ABB HVDC / Hitachi and Volvo CE, including software, software architecture, operating systems, and protocols, and they are intended to be re-used to an as large extent as possible.
The FIESTA project is a synergy of three sub-projects, together targeting the main goal of FIESTA. The three sub-projects are in place to address different but complementing challenges necessary for the achieving the synergy:
1. Concerning nodes: Challenges include integration of legacy software functions on shared parallel processors, featuring sub-challenges related to predictable interference among software functions, prioritization of software functions and runnable tasks, and deadlock-free mutual-exclusion among integrated software functions.
2. Concerning networks: Challenges include consolidation of embedded networks, integrating previously dedicated networks into a lower number of networks providing predictability of message transmissions, timing guarantees, guarantee on sufficient level of security etc.
3. Concerning distributed systems: Challenges include scalable high-performance real-time software, allowing for a dynamic number of real-time software functions to co-exist and cooperate in a distributed environment that is shared with the system’s basic functionality.
In summary the FIESTA project is expected to make several important scientific contributions within the three sub-projects. Moreover, FIESTA will make important contributions regarding the construction of next generations of complex distributed embedded software systems, that will strengthen the competitiveness and improve business prospects for the industrial partners.
|First Name||Last Name||Title|
|Daniel||Bujosa Mateu||Doctoral student|
|Daniel||Hallmans||Industrial Doctoral Student|
|Gabriele||Gualandi||Associated Senior Lecturer|
|Shaik||Salman||Industrial Doctoral Student|
Change-point and model estimation with heteroskedastic noise and unknown model structure (Jul 2023) Anas Al-hashimi, Thomas Nolte, Alessandro Papadopoulos 9th International Conference on Control, Decision and Information Technologies (CoDIT 2023)
Scheduling Firm Real-time Applications on the Edge with Single-bit Execution Time Prediction (May 2023) Shaik Salman, Van-Lan Dao, Alessandro Papadopoulos, Saad Mubeen, Thomas Nolte 2023 IEEE 25th International Symposium on Real Time Distributed Computing (ISORC) (ISORC'23)
Continuous-Emission Markov Models for Real-Time Applications: Bounding Deadline Miss Probabilities (May 2023) Anna Friebe, Filip Markovic, Alessandro Papadopoulos, Thomas Nolte 29th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS 2023)
Hierarchical Resource Orchestration Framework for Real-Time Containers (Apr 2023) Václav Struhár, Silviu Craciunas , Mohammad Ashjaei, Moris Behnam, Alessandro Papadopoulos ACM Transactions on Embedded Computing Systems (TECS 2023)
Optimizing Parallel Task Execution for Multi-Agent Mission Planning (Mar 2023) Branko Miloradovic, Baran Çürüklü, Mikael Ekström, Alessandro Papadopoulos IEEE Access (IEEE Access 2023)
Feedback-based resource management for multi-threaded applications (Mar 2023) Alessandro Papadopoulos, Kunal Agrawal , Enrico Bini , Sanjoy Baruah Real-Time Systems (RTSJ 2022)
|Arcticus Systems AB||Industrial|
|Volvo Construction Equipment AB||Industrial|