Sona Ghahremani | DeepAI

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∙ 08/25/2021

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

The trade-off between the quality and timeliness of adaptation is a mult...

0 Sona Ghahremani, et al. ∙

∙ 08/10/2020

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

Runtime models provide a snapshot of a system at runtime at a desired le...

0 Lucas Sakizloglou, et al. ∙

∙ 08/10/2020

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

Engineering collective adaptive systems (CAS) with learning capabilities...

0 Mirko D'Angelo, et al. ∙

∙ 05/20/2020

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

Self-adaptation can be realized in various ways. Rule-based approaches p...

0 Sona Ghahremani, et al. ∙

∙ 04/07/2020

Towards Highly Scalable Runtime Models with History

Advanced systems such as IoT comprise many heterogeneous, interconnected...

0 Lucas Sakizloglou, et al. ∙

∙ 05/09/2018

Towards Linking Adaptation Rules to the Utility Function for Dynamic Architectures

To benefit from utility-driven and rule-based approaches to self-adaptat...

0 Sona Ghahremani, et al. ∙

∙ 05/09/2018

Efficient Utility-Driven Self-Healing Employing Adaptation Rules for Large Dynamic Architectures

Self-adaptation can be realized in various ways. Rule-based approaches p...

0 Sona Ghahremani, et al. ∙

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