activity
20182021
most citedImproving Scalability and Reward of Utility-Driven Self-Healing for Large Dynamic Architectures

14 citations · 26 across the 4 of their papers we have counts for

collaborators

7 papers

cs.SE2021

Hybrid Planning with Receding Horizon: A Case for Meta-self-awareness

Sona Ghahremani, Holger Giese

The trade-off between the quality and timeliness of adaptation is a multi-faceted challenge in engineering self-adaptive systems. Obtaining adaptation plans that fulfill system obj…

cs.SE20205 cited

A Scalable Querying Scheme for Memory-efficient Runtime Models with History

Lucas Sakizloglou, Sona Ghahremani, Matthias Barkowsky +1

Runtime models provide a snapshot of a system at runtime at a desired level of abstraction. Via a causal connection to the modeled system and by employing model-driven engineering…

cs.SE2020

Learning to Learn in Collective Adaptive Systems: Mining Design Patterns for Data-driven Reasoning

Mirko D'Angelo, Sona Ghahremani, Simos Gerasimou +4

Engineering collective adaptive systems (CAS) with learning capabilities is a challenging task due to their multi-dimensional and complex design space. Data-driven approaches for C…

cs.SE202014 cited

Improving Scalability and Reward of Utility-Driven Self-Healing for Large Dynamic Architectures

Sona Ghahremani, Holger Giese, Thomas Vogel

Self-adaptation can be realized in various ways. Rule-based approaches prescribe the adaptation to be executed if the system or environment satisfies certain conditions. They resul…

cs.SE20207 cited

Towards Highly Scalable Runtime Models with History

Lucas Sakizloglou, Sona Ghahremani, Thomas Brand +2

Advanced systems such as IoT comprise many heterogeneous, interconnected, and autonomous entities operating in often highly dynamic environments. Due to their large scale and compl…

cs.SE2018

Towards Linking Adaptation Rules to the Utility Function for Dynamic Architectures

Sona Ghahremani, Holger Giese, Thomas Vogel

To benefit from utility-driven and rule-based approaches to self-adaptation, we propose combining both by defining and linking the utility function and the adaptation rules in a pa…