-------- Forwarded Message -------- Subject: [ACSOS] International Workshop on Cyber Resilience and Antifragility in Complex, Distributed Systems (CyRA) - Call for Papers Date: Thu, 2 Apr 2020 05:46:12 +0000 From: Baruwal Chhetri, Mohan (Data61, Docklands GS) Mohan.Baruwalchhetri@data61.csiro.au To: 'acsos@lists.uni-wuerzburg.de' acsos@lists.uni-wuerzburg.de
******************************************CyRA 2020 – Call for Papers **********************************************
1st International Workshop on Cyber Resilience and Antifragility in Complex, Distributed Systems (CyRA 2020)
21 August 2020 - Washington DC, USA & online at
1st IEEE International Joint ICAC/SASO Conference on Autonomic Computing & Self-Organizing Systems (ACSOS)
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COVID Statement:
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We would like to express our empathy and condolences to those affected by COVID-19. The CyRA organizing committee has been monitoring the situation surrounding COVID-19, and considering the impact this may have on the event.
At this point, we would like to announce and confirm that CyRA will follow the arrangements of the main ACSOS Conference as follows:
* CyRA will take place, on its original date of 21 August 2020.
* There will be an opportunity to present virtually, for anyone who cannot or chooses not to travel.
* All accepted papers will be published in the conference proceedings by IEEE, irrespective of whether a physical or virtual presentation is given.
* A decision about whether the conference will be entirely virtual or hybrid will be made in early June at the latest. This is to ensure that people have ample time to make travel arrangements, in the case of physical attendance.
Overview:
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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
Paper Submission:
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We invite original research papers that have not been previously published and are not currently under review for publication elsewhere. All papers will be peer reviewed by at least 3 international experts in the field. Acceptance/rejection will be based on relevance to the workshop topics, technical quality, originality and presentation (coherent structure, readable figures, etc.). Novel ideas, papers showing promising early results (prior to comprehensive validation), or papers which are more controversial and could trigger discussions, are especially welcome. For such submissions, criteria pertaining to originality and sound argumentation will be given greater weight during the review process.
All accepted papers will be published in the ACSOS proceedings and submitted for inclusion to IEEE Xplore. Papers must thus be in the same format as the conference proceedings and must not be more than 6 pages in length.
Submission site: https://easychair.org/conferences/?conf=cyra2020 https://easychair.org/conferences/?conf=cyra2020
Important Dates:
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- Paper Submission Deadline: June 15, 2020
- Notification of Acceptance: July 1, 2020
- Camera Ready Submission: July 8, 2020
Organizing Committee:
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- Dr. Surya Nepal, CSIRO Data61 & Cyber Security CRC, Australia
- Dr. Anton V. Uzunov, DST Group, Australia
- Dr. Mohan Baruwal Chhetri, CSIRO Data61, Australia
Program Committee:
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- Barry Porter, Lancaster University
- Christian Krupitzer, University of Würzburg
- Claudia Szabo, University of Adelaide
- Danny Weyns, Katholieke Universiteit Leuven
- David Garlan, Carnegie Mellon University
- Kjell Jørgen Hole, Simula Research Laboratory
- Mohamed Abdelrazek, Deakin University
- Partha Pal, BBN Technologies
- Ryszard Kowalczyk, Swinburne University of Technology
- Thomas Vogel, Humboldt University of Berlin