Subject: | [ACSOS] International Workshop on Cyber Resilience and Antifragility in Complex, Distributed Systems (CyRA) - Call for Papers |
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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)
***************************************************************************************************************
COVID Statement:
-------------------------
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:
--------------
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:
-------------------------
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
Important Dates:
-----------------------
- Paper Submission Deadline: June 15, 2020
- Notification of Acceptance: July 1, 2020
- Camera Ready Submission: July 8, 2020
Organizing Committee:
-------------------------------
- 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:
----------------------------
- 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