Abstract is missing.
- Message from the Doctoral Symposium Chairs ACSOS 2020Phyllis R. Nelson, Barry Porter, Jean Botev. 1 [doi]
- ENSURE: Efficient Scheduling and Autonomous Resource Management in Serverless EnvironmentsAmoghavarsha Suresh, Gagan Somashekar, Anandh Varadarajan, Veerendra Ramesh Kakarla, Hima Upadhyay, Anshul Gandhi. 1-10 [doi]
- PRESTO: a latency-aware power-capping orchestrator for cloud-native microservicesRolando Brondolin, Marco D. Santambrogio. 11-20 [doi]
- Self-Patch: Beyond Patch Tuesday for Containerized ApplicationsOlufogorehan Tunde-Onadele, Yuhang Lin, Jingzhu He, Xiaohui Gu. 21-27 [doi]
- Hierarchical Scaling of Microservices in KubernetesFabiana Rossi, Valeria Cardellini, Francesco Lo Presti. 28-37 [doi]
- A self-configuring and adaptive privacy-aware permission system for Android appsGian Luca Scoccia, Marco Autili, Paola Inverardi. 38-47 [doi]
- Assessing Adaptations based on Change ImpactsSharmin Jahan, Ian Riley, Rose F. Gamble. 48-54 [doi]
- Hybrid Planning Using Learning and Model Checking for Autonomous SystemsAshutosh Pandey 0002, Ivan Ruchkin, Bradley R. Schmerl, David Garlan. 55-64 [doi]
- REACT: A Model-Based Runtime Environment for Adapting Communication SystemsMartin Pfannemüller, Martin Breitbach, Christian Krupitzer, Markus Weckesser, Christian Becker 0001, Bradley Schmerl, Andy Schürr. 65-74 [doi]
- Design-Time Validation of Runtime Reconfiguration Strategies: An Environmental-Driven ApproachMax Scheerer, Martina Rapp, Ralf H. Reussner. 75-81 [doi]
- Automated Management of Collections of Autonomic SystemsThomas J. Glazier, David Garlan, Bradley R. Schmerl. 82-91 [doi]
- Adaptive Trust-Aware Decentralized Information Flow ControlCharilaos Skandylas, Narges Khakpour, Jesper Andersson. 92-101 [doi]
- A Distributed Population Management Approach for Mobile Agent SystemsBryan J. Prosser, Errin W. Fulp. 102-108 [doi]
- DeCrypto Pro: Deep Learning Based Cryptomining Malware Detection Using Performance CountersGanapathy Mani, Vikram Pasumarti, Bharat K. Bhargava, Faisal Tariq Vora, James Macdonald, Justin King, Jason Kobes. 109-118 [doi]
- Learning Distributed Controllers for V-FormationShouvik Roy, Usama Mehmood, Radu Grosu, Scott A. Smolka, Scott D. Stoller, Ashish Tiwari 0001. 119-128 [doi]
- Coevolutionary Learning of Neuromodulated Controllers for Multi-Stage and Gamified TasksChloe M. Barnes, Anikó Ekárt, Kai Olav Ellefsen, Kyrre Glette, Peter R. Lewis, Jim Tørresen. 129-138 [doi]
- MERIT: Model-driven Rehoming for VNF ChainsMuhammad Wajahat, Bharath Balasubramanian, Anshul Gandhi, Gueyoung Jung, Shankaranarayanan Puzhavakath Narayanan. 139-145 [doi]
- How far should I watch? Quantifying the effect of various observational capabilities on long-range situational awareness in multi-robot teamsSehyeok Kang, Taeyeong Choi, Theodore P. Pavlic. 146-152 [doi]
- FCPP: an efficient and extensible Field Calculus frameworkGiorgio Audrito. 153-159 [doi]
- Automating GUI Testing with Image-Based Deep Reinforcement LearningJuha Eskonen, Julen Kahles, Joel Reijonen. 160-167 [doi]
- A Survey of Methodology in Self-Adaptive Systems ResearchBarry Porter, Roberto Vito Rodrigues Filho, Paul Dean. 168-177 [doi]
- Deadlock Avoidance for Multiple Tasks in a Self-Organizing Production CellJoseph Hirsch, Martin Neumayer, Hella Ponsar, Oliver Kosak, Wolfgang Reif. 178-187 [doi]
- Taming Resource Heterogeneity In Distributed ML Training With Dynamic BatchingSahil Tyagi, Prateek Sharma. 188-194 [doi]
- Reasoning about When to Provide Explanation for Human-involved Self-Adaptive SystemsNianyu Li, Javier Cámara, David Garlan, Bradley R. Schmerl. 195-204 [doi]
- Collective Learning: A 10-Year Odyssey to Human-centered Distributed IntelligenceEvangelos Pournaras. 205-214 [doi]
- Evaluating the Effect of User-Given Guiding Attention on the Learning ProcessRichard Nordsieck, Michael Heider, Andreas Angerer, Jörg Hähner. 215-221 [doi]
- Building Reusable Repertoires for Stochastic Self-* PlannersCody Kinneer, Rijnard van Tonder, David Garlan, Claire Le Goues. 222-231 [doi]
- Reconfigurable Embedded Devices Using Reinforcement Learning to Develop Action-PoliciesAlwyn Burger, David W. King, Gregor Schiele. 232-241 [doi]
- Understanding Uncertainty in Self-adaptive SystemsRadu Calinescu, Raffaela Mirandola, Diego Perez-Palacin, Danny Weyns. 242-251 [doi]