CALL FOR PAPERS
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| 22nd Track on Dependable, Adaptive, and Secure Distributed Systems |
| (DADS) of the 42nd ACM Symposium on Applied Computing (SAC'27) |
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April 5-9, 2027
Gwangju, South Korea

https://dedisys.org/sac27/
https://www.sigapp.org/sac/sac2027/

Accepted papers will be published in the ACM conference proceedings and will be included in the ACM digital library.

Important Dates:
Paper submission: October 2, 2026 (check call-page for possible extension)
author notification: November 13, 2026
Camera-ready copies: December 28, 2026

Authors are invited to submit original work not previously published, nor currently submitted elsewhere. Authors submit full papers in pdf format using the link to the submission site at https://www.dedisys.org/sac27/. Authors are allowed to submit up to 10 pages, but with more than 8 pages in the final camera ready, there will be a charge of 80USD per extra page.

Call details
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While computing is provided by the cloud and services increasingly pervade our daily lives, dependability, adaptiveness and security become a cornerstone of the information society. Unfortunately, most innovative systems and applications (Internet of Things, Industrial IoT, smart environments, microservices, NewSQL, blockchains) suffer from a lack of dependability and security, which is fueled by global scale and AI usage.

Among technical factors, software development methods, tools, and techniques contribute to dependability and security, as defects in software products and services may lead to failure and also provide typical access for malicious attacks. In addition, there is a wide variety of fault and intrusion tolerance techniques available, including data stores, redundancy and replication, group communication, transactions, reliable middleware, cloud infrastructures, microservice mashups, light-weight virtualization (docker), and trustworthy service-oriented and microservice architectures with explicit control of quality of service and monitoring of service level agreements.

Furthermore, adaptiveness is envisaged in order to react to observed, or act upon expected changes of the system itself, the context/environment (e.g., resource variability or failure/threat scenarios) or users' needs and expectations. Provided without explicit user intervention, this is also termed autonomous behavior or self-properties, and often involves monitoring, diagnosis (analysis, interpretation), and reconfiguration (repair). Finally large language models are increasingly used in engineering but pose their own unique challenges for dependability and security, e.g., hallucination, bias, accuracy, privacy, scalability, cost-efficiency.

Topics of interest
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* Dependable, Adaptive, and Secure Distributed Systems (DADS)
* Large Language Models (LLM) and AI for DADS
* Architectures, architectural styles, and middleware for DADS
* Protocols for DADS
* Modeling, design, and engineering of DADS
* Foundations and formal methods for DADS
* Applications of DADS
* Evaluations, testing, benchmarking, and case studies of DADS
* Holistic aspects of DADS

Track program co-chairs
=======================
Karl M. Goeschka, Vienna University of Technology (Austria)
(main contact: dads@dedisys.org)
Matti Hiltunen, AT&T Labs (USA)
Rui Oliveira, Universidade do Minho (Portugal)

Program committee
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Filipe Araujo, University of Coimbra (Portugal)
Claudio Agostino Ardagna, University of Milan (Italy)
Alexandros Bakas, Örebro University (Sweden)
Nicola Bena, University of Milan (Italy)
Andrea Bondavalli, University of Florence (Italy)
Alessandro Brighente, University of Padova (Italy)
Antonio Casimiro, Universidade de Lisboa (Portugal)
Marco Centenaro, University of Padova (Italy)
Paulo Coelho, Federal University of Uberlandia (Brazil)
Gianpaolo Cugola, Politecnico di Milano (Italy)
Rogerio De Lemos, University of Kent (UK)
Felicita Di Giandomenico, ISTI-CNR, Pisa (Italy)
Denis Donadel, Fondazione Bruno Kessler (Italy)
Ankit Gangwal, International Institute of Information Technology (India)
Nikolaos Georgantas, INRIA (France)
Alexandre Huff, Federal Technological University of Parana (Brazil)
Mikel Larrea, Euskal Herriko Unibersitatea (Spain)
Mark Little, Redhat (UK)
István Majzik, Budapest UTE (Hungary)
Odorico Mendizabal, Federal University of Santa Catarina (Brazil)
Gero Mühl, University of Rostock (Germany)
Francesc Daniel Muñoz-Escoí, UP Valencia (Spain)
Barry Porter, Lancaster University (UK)
Luís Rodrigues, INESC-ID/IST (Portugal)
Luigi Romano, University of Naples (Italy)
Alirio Sá, Federal University of Bahia (Brazil)
Valerio Schiavoni, Université de Neuchâtel (Switzerland)
Elad Schiller, Chalmers University (Sweden)
Antonio Sousa, Universidade do Minho (Portugal)
Matheus Torquato, University of Coimbra (Portugal)
Eddy Truyen, Katholieke Universiteit Leuven (Belgium)
Luis Veiga, Technical University of Lisbon (Portugal)
Nicola Zannone, Technical University of Eindhoven (Netherlands)