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ACSOS 2021: Washington, DC, USA
- Esam El-Araby, Vana Kalogeraki, Danilo Pianini
, Frédéric Lassabe, Barry Porter, Sona Ghahremani, Ingrid Nunes, Mohamed Bakhouya, Sven Tomforde:
IEEE International Conference on Autonomic Computing and Self-Organizing Systems, ACSOS 2021, Washington, DC, USA, September 27 - Oct. 1, 2021. IEEE 2021, ISBN 978-1-6654-1261-2 - Mingyue Zhang, Jialong Li, Haiyan Zhao, Kenji Tei, Shinichi Honiden, Zhi Jin:
A Meta Reinforcement Learning-based Approach for Self-Adaptive System. 1-10 - Ziran Min
A Self-Adaptive Load Balancing Approach for Software-Defined Networks in IoT. 11-20 - Li Wu
Causal Inference Techniques for Microservice Performance Diagnosis: Evaluation and Guiding Recommendations. 21-30 - Hanfei Yu
FaaSRank: Learning to Schedule Functions in Serverless Platforms. 31-40 - Soeren Becker, Florian Schmidt, Lauritz Thamsen, Ana Juan Ferrer, Odej Kao:
LOS: Local-Optimistic Scheduling of Periodic Model Training For Anomaly Detection on Sensor Data Streams in Meshed Edge Networks. 41-50 - Samuel S. Ogden, Guin Gilman, Robert J. Walls, Tian Guo
Many Models at the Edge: Scaling Deep Inference via Model-Level Caching. 51-60 - Ilja Shmelkin, Thomas Springer:
On Adapting SNMP as Communication Protocol in Distributed Control Loops for Self-adaptive Systems. 61-70 - Matteo Camilli
Runtime Equilibrium Verification for Resilient Cyber-Physical Systems. 71-80 - Jorge F. Schmidt
Stochastic Switching of Power Levels can Accelerate Self-Organized Synchronization in Wireless Networks with Interference. 81-89 - Udo Schilcher, Jorge F. Schmidt
Swarmalators with Stochastic Coupling and Memory. 90-99 - Patricia Mellodge, Ada Diaconescu, Louisa Jane Di Felice:
Timing configurations affect the macro-properties of multi-scale feedback systems. 100-109 - Kanvaly Fadiga, Étienne Houzé, Ada Diaconescu, Jean-Louis Dessalles:
To do or not to do: finding causal relations in smart homes. 110-119 - Diego Botache, Florian Bethke, Martin Hardieck, Maarten Bieshaar, Ludwig Brabetz, Mohamed Ayeb
Towards Highly Automated Machine-Learning-Empowered Monitoring of Motor Test Stands. 120-130 - Ryan Liu, Shizhe Lin, Ladan Tahvildari:
AHA: Adaptive Hadoop in Ad-hoc Cloud Environments. 131-137 - Börge Kordts, Jan Patrick Kopetz, Andreas Schrader:
A Framework for Self-Explaining Systems in the Context of Intensive Care. 138-144 - Barry Porter, Roberto Rodrigues Filho
A Programming Language for Sound Self-Adaptive Systems. 145-150 - Floriment Klinaku, Mir Alireza Hakamian, Steffen Becker:
Architecture-based Evaluation of Scaling Policies for Cloud Applications. 151-157 - Sacheendra Talluri, Leon Overweel, Laurens Versluis, Animesh Trivedi
Empirical Characterization of User Reports about Cloud Failures. 158-163 - Chloe M. Barnes
Evolving Neuromodulated Controllers in Variable Environments. 164-169 - Ketong Zheng, Eva Julia Schmitt, Arturo González, Gerhard P. Fettweis:
Self-organized Allocation of Dependent Tasks in Industrial Applications. 170-176 - Veronika Lesch, Tanja Noack, Johannes Hefter, Samuel Kounev, Christian Krupitzer
Towards Situation-Aware Meta-Optimization of Adaptation Planning Strategies. 177-187
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