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ORCIDACSOS 2020: Washington, DC, USA
- IEEE International Conference on Autonomic Computing and Self-Organizing Systems, ACSOS 2020, Washington, DC, USA, August 17-21, 2020. IEEE 2020, ISBN 978-1-7281-7277-4
- Phyllis R. Nelson, Barry Porter, Jean Botev:
Message from the Doctoral Symposium Chairs ACSOS 2020. 1 - Amoghavarsha Suresh, Gagan Somashekar
, Anandh Varadarajan, Veerendra Ramesh Kakarla, Hima Upadhyay, Anshul Gandhi:
ENSURE: Efficient Scheduling and Autonomous Resource Management in Serverless Environments. 1-10 - Rolando Brondolin, Marco D. Santambrogio:
PRESTO: a latency-aware power-capping orchestrator for cloud-native microservices. 11-20 - Olufogorehan Tunde-Onadele, Yuhang Lin, Jingzhu He, Xiaohui Gu:
Self-Patch: Beyond Patch Tuesday for Containerized Applications. 21-27 - Fabiana Rossi, Valeria Cardellini, Francesco Lo Presti:
Hierarchical Scaling of Microservices in Kubernetes. 28-37 - Gian Luca Scoccia, Marco Autili, Paola Inverardi:
A self-configuring and adaptive privacy-aware permission system for Android apps. 38-47 - Sharmin Jahan, Ian Riley, Rose F. Gamble:
Assessing Adaptations based on Change Impacts. 48-54 - Ashutosh Pandey, Ivan Ruchkin, Bradley R. Schmerl, David Garlan:
Hybrid Planning Using Learning and Model Checking for Autonomous Systems. 55-64 - Martin Pfannemüller, Martin Breitbach, Christian Krupitzer, Markus Weckesser, Christian Becker, Bradley R. Schmerl, Andy Schürr:
REACT: A Model-Based Runtime Environment for Adapting Communication Systems. 65-74 - Max Scheerer, Martina Rapp, Ralf H. Reussner:
Design-Time Validation of Runtime Reconfiguration Strategies: An Environmental-Driven Approach. 75-81 - Thomas J. Glazier, David Garlan, Bradley R. Schmerl:
Automated Management of Collections of Autonomic Systems. 82-91 - Charilaos Skandylas, Narges Khakpour, Jesper Andersson:
Adaptive Trust-Aware Decentralized Information Flow Control. 92-101 - Bryan J. Prosser, Errin W. Fulp:
A Distributed Population Management Approach for Mobile Agent Systems. 102-108 - Ganapathy Mani, Vikram Pasumarti, Bharat K. Bhargava, Faisal Tariq Vora, James MacDonald, Justin King, Jason Kobes:
DeCrypto Pro: Deep Learning Based Cryptomining Malware Detection Using Performance Counters. 109-118 - Shouvik Roy, Usama Mehmood, Radu Grosu, Scott A. Smolka, Scott D. Stoller, Ashish Tiwari:
Learning Distributed Controllers for V-Formation. 119-128 - Chloe M. Barnes, Anikó Ekárt, Kai Olav Ellefsen, Kyrre Glette, Peter R. Lewis, Jim Tørresen:
Coevolutionary Learning of Neuromodulated Controllers for Multi-Stage and Gamified Tasks. 129-138 - Muhammad Wajahat, Bharath Balasubramanian, Anshul Gandhi, Gueyoung Jung, Shankaranarayanan Puzhavakath Narayanan:
MERIT: Model-driven Rehoming for VNF Chains. 139-145 - Sehyeok Kang, Taeyeong Choi, Theodore P. Pavlic:
How far should I watch? Quantifying the effect of various observational capabilities on long-range situational awareness in multi-robot teams. 146-152 - Giorgio Audrito:
FCPP: an efficient and extensible Field Calculus framework. 153-159 - Juha Eskonen, Julen Kahles, Joel Reijonen:
Automating GUI Testing with Image-Based Deep Reinforcement Learning. 160-167 - Barry Porter, Roberto Rodrigues Filho, Paul Dean:
A Survey of Methodology in Self-Adaptive Systems Research. 168-177 - Joseph Hirsch, Martin Neumayer, Hella Ponsar, Oliver Kosak, Wolfgang Reif:
Deadlock Avoidance for Multiple Tasks in a Self-Organizing Production Cell. 178-187 - Sahil Tyagi, Prateek Sharma:
Taming Resource Heterogeneity In Distributed ML Training With Dynamic Batching. 188-194 - Nianyu Li, Javier Cámara, David Garlan, Bradley R. Schmerl:
Reasoning about When to Provide Explanation for Human-involved Self-Adaptive Systems. 195-204 - Evangelos Pournaras:
Collective Learning: A 10-Year Odyssey to Human-centered Distributed Intelligence. 205-214 - Richard Nordsieck, Michael Heider, Andreas Angerer, Jörg Hähner:
Evaluating the Effect of User-Given Guiding Attention on the Learning Process. 215-221 - Cody Kinneer, Rijnard van Tonder, David Garlan, Claire Le Goues:
Building Reusable Repertoires for Stochastic Self-* Planners. 222-231 - Alwyn Burger, David W. King, Gregor Schiele:
Reconfigurable Embedded Devices Using Reinforcement Learning to Develop Action-Policies. 232-241 - Radu Calinescu, Raffaela Mirandola, Diego Perez-Palacin, Danny Weyns:
Understanding Uncertainty in Self-adaptive Systems. 242-251
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