From inter-connected medical devices, traffic lights and autonomous vehicles, to air-traffic control systems, data centres and large-scale enterprise applications, software systems of varying levels of complexity are increasingly being used to either control or support essential business services and operations. Ongoing advances in various edge-oriented computing paradigms, inclusive of the Internet of Things (IoT), Edge computing, Fog computing and others, have served to significantly increase the complexity and ubiquity of these software systems (indeed, the IoT paradigm can be seen as an evolution of ubiquitous computing from the 1990s), and, as a result of this, to make them more critical. Given their criticality, in addition to being able to resist malicious attacks (security) and handle accidental failures (reliability), the resilience of such systems, namely, their ability to `bounce back’ from both attacks and failures and autonomously maintain operation, is becoming increasingly important. Going beyond resilience, in some situations (e.g. in highly dynamic, unpredictable environments) it is also desirable, and sometimes even essential, for software systems to have the ability to improve their own functionality and `bounce back’ even more resilient than before. This characteristic is termed antifragility.
Both resilience and antifragility can be achieved through a variety of means, but one particularly promising approach is to apply techniques from autonomic and/or self-adaptive computing – realizing various self-* properties via adaptation, including the special property of self-improvement via meta-adaptation – in conjunction with AI and other research areas such as distributed computing and software engineering.
This workshop aims to disseminate the latest research ideas and results that are based on, or arrived at by using, autonomic and/or self-adaptive computing (but also self-aware computing, CAS, and related variants), as these ideas and results pertain to cyber resilience and antifragility in complex, distributed systems; and to stimulate discussion on a range of topics within this overarching theme. Topics include, but are not limited to the following, as they apply to resilience and/or antifragility in complex, distributed systems via self-adaptive/autonomic/etc. computing:
decentralized decision-making and decision coordination;
multi-agent systems/distributed AI;
decentralized learning and meta-learning for self-improvement;
decentralized architectures, including the use of micro-service architectures;
architectural patterns;
self-organisation and self-assembly techniques, including self-organization/self-assembly of the adaptation logic;
realizing self-* properties in a cross-cutting fashion;
model-driven approaches and domain-specific languages;
formal adaptation and meta-adaptation guarantees, in conjunction with learning.
Dr. Anton V. Uzunov
Defence Science and Technology Group, Australia
+61 8 7389 7252
Anton.Uzunov@dst.defence.gov.au
Dr. Mohan Baruwal Chhetri
CSIRO Data61, Australia
+61 3 9518 5981
Mohan.BaruwalChhetri@data61.csiro.au
Dr. Surya Nepal
CSIRO Data61 & Cyber Security CRC, Australia
+61 2 9372 4256
Surya.Nepal@data61.csiro.au
Prof. Danny Weyns – Professor at KU Leuven, Belgium
Dr. Partha Pal – Principal Scientist at Raytheon BBN, USA
A/Prof. Claudia Szabo – Associate Professor at University of Adelaide, Australia
Dr. Barry Porter – Senior Lecturer, Lancaster University, UK
Jun.-Prof. Christian Krupitzer – Tenure Track Professor at University of Hohenheim, Germany
Prof. Ryszard Kowalczyk – Professor at Swinburne University of Technology, Australia
Prof. David Garlan, Professor at Carnegie Mellon University, USA
Dr. Thomas Vogel – Researcher at Humbolt University Berlin, Germany
Prof. Kjell J. Hole – Director of Simula UiB at University of Bergen, Norway
Prof. Vijay Varadharajan – Professor at University of Newcastle, Australia
Here the link to the submission system