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ACSOS 2022: Virtual, CA, USA
- Roberto Casadei, Elisabetta Di Nitto, Ilias Gerostathopoulos, Danilo Pianini
, Ivana Dusparic, Timothy Wood, Phyllis R. Nelson, Evangelos Pournaras, Nelly Bencomo, Sebastian Götz, Christian Krupitzer, Claudia Raibulet:
IEEE International Conference on Autonomic Computing and Self-Organizing Systems, ACSOS 2022, Virtual, CA, USA, September 19-23, 2022. IEEE 2022, ISBN 978-1-6654-7137-4 - Moeen Ali Naqvi
On Evaluating Self-Adaptive and Self-Healing Systems using Chaos Engineering. 1-10 - Gianluca Aguzzi, Roberto Casadei
Addressing Collective Computations Efficiency: Towards a Platform-level Reinforcement Learning Approach. 11-20 - Kathiani Elisa de Souza, Fabiano Cutigi Ferrari:
A Systematic Review of Fault Tolerance Techniques for Adaptive and Context-Aware Systems. 21-30 - Melanie Feist, Martin Breitbach, Heiko Trötsch, Christian Becker, Christian Krupitzer
Rango: An Intuitive Rule Language for Learning Classifier Systems in Cyber-Physical Systems. 31-40 - Yuhang Lin, Olufogorehan Tunde-Onadele
SHIL: Self-Supervised Hybrid Learning for Security Attack Detection in Containerized Applications. 41-50 - Felix Feit, Andreas Metzger, Klaus Pohl:
Explaining Online Reinforcement Learning Decisions of Self-Adaptive Systems. 51-60 - Akshar Shravan Chavan, Marco Brocanelli
Towards High-Quality Battery Life for Autonomous Mobile Robot Fleets. 61-70 - Shuang Zhou, Yuankai Huo, Shunxing Bao, Bennett A. Landman, Aniruddha Gokhale:
FedACA: An Adaptive Communication-Efficient Asynchronous Framework for Federated Learning. 71-80 - Danilo Pianini
Self-stabilising Priority-Based Multi-Leader Election and Network Partitioning. 81-90 - Ratnadeep Bhattacharya, Timothy Wood:
BLOC: Balancing Load with Overload Control In the Microservices Architecture. 91-100 - Étienne Houzé, Ada Diaconescu, Jean-Louis Dessalles, David Menga:
A generic and modular reference architecture for self-explainable smart homes. 101-110 - Gagan Somashekar
Reducing the Tail Latency of Microservices Applications via Optimal Configuration Tuning. 111-120 - Michael Austin Langford, Betty H. C. Cheng
A Modular and Composable Approach to Develop Trusted Artificial Intelligence. 121-130 - Maria Casimiro, Paolo Romano, David Garlan, Luís Rodrigues:
Towards a Framework for Adapting Machine Learning Components. 131-140 - Saad Sajid Hashmi, Hoa Khanh Dam, Peter Smet, Mohan Baruwal Chhetri
Towards Antifragility in Contested Environments: Using Adversarial Search to Learn, Predict, and Counter Open-Ended Threats. 141-146
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