164 citations · 285 across the 8 of their papers we have counts for
5 papers · 1 filter
Reducing Large Adaptation Spaces in Self-Adaptive Systems Using Machine Learning
Federico Quin, Danny Weyns, Omid Gheibi
Modern software systems often have to cope with uncertain operation conditions, such as changing workloads or fluctuating interference in a wireless network. To ensure that these s…
Deep Learning for Effective and Efficient Reduction of Large Adaptation Spaces in Self-Adaptive Systems
Danny Weyns, Omid Gheibi, Federico Quin +1
Many software systems today face uncertain operating conditions, such as sudden changes in the availability of resources or unexpected user behavior. Without proper mitigation thes…
Lifelong Self-Adaptation: Self-Adaptation Meets Lifelong Machine Learning
Omid Gheibi, Danny Weyns
In the past years, machine learning (ML) has become a popular approach to support self-adaptation. While ML techniques enable dealing with several problems in self-adaptation, such…
On the Impact of Applying Machine Learning in the Decision-Making of Self-Adaptive Systems
Omid Gheibi, Danny Weyns, Federico Quin
Recently, we have been witnessing an increasing use of machine learning methods in self-adaptive systems. Machine learning methods offer a variety of use cases for supporting self-…
Decentralized Self-Adaptive Systems: A Mapping Study
Federico Quin, Danny Weyns, Omid Gheibi
With the increasing ubiquity and scale of self-adaptive systems, there is a growing need to decentralize the functionality that realizes self-adaptation. Our focus is on architectu…