19 citations · 22 across the 4 of their papers we have counts for
7 papers
Ensemble-based modeling abstractions for modern self-optimizing systems
Michal Töpfer, Milad Abdullah, Tomáš Bureš +2
In this paper, we extend our ensemble-based component model DEECo with the capability to use machine-learning and optimization heuristics in establishing and reconfiguration of aut…
Online ML Self-adaptation in Face of Traps
Michal Töpfer, František Plášil, Tomáš Bureš +3
Online machine learning (ML) is often used in self-adaptive systems to strengthen the adaptation mechanism and improve the system utility. Despite such benefits, applying online ML…
Towards characterization of edge-cloud continuum
Danylo Khalyeyev, Tomáš Bureš, Petr Hnětynka
Internet of Things and cloud computing are two technological paradigms that reached widespread adoption in recent years. These paradigms are complementary: IoT applications often r…
Towards fuzzification of adaptation rules in self-adaptive architectures
Tomáš Bureš, Petr Hnětynka, Martin Kruliš +5
In this paper, we focus on exploiting neural networks for the analysis and planning stage in self-adaptive architectures. The studied motivating cases in the paper involve existing…
Forming Ensembles at Runtime: A Machine Learning Approach
Tomáš Bureš, Ilias Gerostathopoulos, Petr Hnětynka +1
Smart system applications (SSAs) built on top of cyber-physical and socio-technical systems are increasingly composed of components that can work both autonomously and by cooperati…
Managing Latency in Edge-Cloud Environment
Lubomír Bulej, Tomáš Bureš, Adam Filandr +5
Modern Cyber-physical Systems (CPS) include applications like smart traffic, smart agriculture, smart power grid, etc. Commonly, these systems are distributed and composed of end-u…