Operations Research Methods for Scheduling and Dimensioning of Real-Time Systems

Interdisciplinary collaboration is needed to solve tomorrow's increasingly complex and large-scale optimization problems in scheduling and dimensioning of real time systems.

Several decision problems within scheduling and resource allocation for dynamic systems with timeliness or performance requirements are of a quantitative nature and lend themselves to discrete optimization. For future applications, the size and complexity of such problems are expected to increase. To address the challenges involved in solving them, there is a need for interdisciplinary collaborations joining operations research and real time systems knowledge. Initially, this project studies scheduling of avionics systems.

Organisation

This was a project within the Research school in interdisciplinary mathematics. The following people were involved: PhD student Emil Karlsson (graduated 2021), Elina Rönnberg (main supervisor), Simin Nadjm-Tehrani from the Real-time Systems Laboratory, Department of Computer and Information Science, Linköping University (co-supervisor), and Kaj Holmberg (co-supervisor).

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