Filip's main research interest is the area of probabilistic and statistical analysis in Real-Time Computing (RTC). RTC is an area of computer science that deals with systems where the correctness of the computation depends on the time when it is delivered. RTC is essential for virtually all industries at the foundation of modern society such as health-care, transportation, and manufacturing. If in such systems timing requirements are not met, i.e., if computers take action in the physical world at the wrong time, then consequences can be critical, e.g., fatal amount of radiation exposed to the patient or traffic crashes, etc.
The RTC field studies mathematical analyses to safely assess the temporal behaviour of such systems.
The probabilistic RTC field studies the use of probability theory and statistics to safely assess the temporal behaviour of cyber-physical systems. And it is super interesting.
Prior to his work on probabilistic RTC, during his PhD years, Filip has researched about preemptive scheduling, a scheduling paradigm within teal-time computing. He has also worked on:
CTA: A Correlation-Tolerant Analysis of the Deadline-Failure Probability of Dependent Tasks (Dec 2023) Filip Markovic, Pierre Roux , Sergey Bozhko , Alessandro Papadopoulos, Björn B. Brandenburg 44th IEEE Real-Time Systems Symposium (RTSS 2023)
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)
Analytical Approximations in Probabilistic Analysis of Real-Time Systems (Dec 2022) Filip Markovic, Thomas Nolte, Alessandro Papadopoulos 43rd IEEE Real-Time Systems Symposium 2022 (RTSS2022)
Scheduling Elastic Applications in Compositional Real-Time Systems (Sep 2021) Shaik Salman, Alessandro Papadopoulos, Filip Markovic, Saad Mubeen, Thomas Nolte 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2021)
Adaptive Runtime Estimate of Task Execution Times using Bayesian Modeling (Aug 2021) Anna Friebe, Filip Markovic, Alessandro Papadopoulos, Thomas Nolte 27th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA'21)
On the Convolution Efficiency for Probabilistic Analysis of Real-Time Systems (Jul 2021) Filip Markovic, Alessandro Papadopoulos, Thomas Nolte 33rd Euromicro Conference on Real-Time Systems (ECRTS 2021)
|FIESTA - Federated Choreography of an Integrated Embedded Systems Software Architecture
|PARIS - Practical Probabilistic Timing Analysis of Real-Time Systems