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ORCID13th SASO 2019: Umea, Sweden
- 13th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2019, Umea, Sweden, June 16-20, 2019. IEEE 2019, ISBN 978-1-7281-2731-6
Runtime Modelling
- Erik M. Fredericks, Ilias Gerostathopoulos
, Christian Krupitzer, Thomas Vogel:
Planning as Optimization: Dynamically Discovering Optimal Configurations for Runtime Situations. 1-10 - Luis Hernán García Paucar, Nelly Bencomo:
Knowledge Base K Models to Support Trade-Offs for Self-Adaptation using Markov Processes. 11-16 - Thomas Brand, Holger Giese:
Generic Adaptive Monitoring Based on Executed Architecture Runtime Model Queries and Events. 17-22
Sensing, Learning, and Adaptation
- Denise Ratasich, Michael Platzer, Radu Grosu, Ezio Bartocci:
Adaptive Fault Detection Exploiting Redundancy with Uncertainties in Space and Time. 23-32 - Lei Fang, Juan Ye, Simon Dobson:
Distributed Self-Monitoring Sensor Networks Via Markov Switching Dynamic Linear Models. 33-42 - Abdulmajid Murad, Frank Alexander Kraemer, Kerstin Bach, Gavin Taylor:
Autonomous Management of Energy-Harvesting IoT Nodes Using Deep Reinforcement Learning. 43-51 - Maxime Guériau, Nicolás Cardozo, Ivana Dusparic:
Constructivist Approach to State Space Adaptation in Reinforcement Learning. 52-61
Cloud-Based Adaptation
- Kamal Hakimzadeh, Jim Dowling:
Ops-Scale: Scalable and Elastic Cloud Operations by a Functional Abstraction and Feedback Loops. 62-71 - Vladimir Podolskiy, Michael Mayo, Abigail Koay, Michael Gerndt, Panos Patros:
Maintaining SLOs of Cloud-Native Applications Via Self-Adaptive Resource Sharing. 72-81 - Bartosz Zurkowski, Krzysztof Zielinski:
Towards Self-Organizing Cloud Polyglot Database Systems. 82-87
Agents and Coordination
- Agata Barcis, Christian Bettstetter:
Beyond Sync: Distributed Temporal Coordination and Its Implementation in a Multi-Robot System. 88-96 - Chloe M. Barnes, Anikó Ekárt, Peter R. Lewis:
Social Action in Socially Situated Agents. 97-106 - David W. King, Gilbert L. Peterson:
The Emergence of Division of Labor in Multi-Agent Systems. 107-116
Learning and Coordination
- Erick Lavoie, Laurie J. Hendren, Frédéric Desprez, Miguel Correia:
Genet: A Quickly Scalable Fat-Tree Overlay for Personal Volunteer Computing using WebRTC. 117-126 - Barry Porter, Roberto Rodrigues Filho:
Distributed Emergent Software: Assembling, Perceiving and Learning Systems at Scale. 127-136 - Ada Diaconescu, Louisa Jane Di Felice, Patricia Mellodge:
Multi-Scale Feedbacks for Large-Scale Coordination in Self-Systems. 137-142
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