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Dear colleagues,
This Special Issue addresses all facets of research in the area of
self-aware computing systems and related disciplines (Autonomic
Computing, SASO systems, Organic Computing, Pervasive Computing,
Ubiquitous Computing, Multi-agent systems ...), including
fundamental science and theory, levels and aspects, architectures
for individual and collective systems, methods and algorithms for
model learning, self-adaptation in individual and collective
systems, transition strategies for increasing self-awareness in
existing systems, open challenges and future research directions,
as well as applications and case studies. In this Special Issue,
particular emphasis will be given on real applications of
self-aware computing principles and to the evaluation of these
systems, including objectives, metrics, tools, procedure,
methodologies, reference systems, and benchmarks.
Especially, authors presented papers at the Workshop on Self-Aware
Computing (SeAC 2020) and the IEEE International Conference on
Autonomic Computing and Self-Organizing Systems (ACSOS 2020), but
also those from other conferences, are invited to submit their
extended versions to this Special Issue. All submitted papers will
undergo our standard peer-review procedure. Extended conference
papers should cite the original contribution on the first page of
the paper; authors are asked to disclose that it is a conference
paper in their cover letter and include a statement on what has
been changed compared to the original conference paper. Please
note that the submitted extended paper should contain at least 50%
new content (e.g., in the form of technical extensions, more
in-depth evaluations, or additional use cases) and not exceed 30%
copy/paste from the conference paper.
# Areas of Interest
In this special issue, we aim to cover all topics concerning
self-aware computing systems and related disciplines (Autonomic
Computing, SASO systems, Organic Computing, Pervasive Computing,
Ubiquitous Computing, Multi-agent systems ...). We expect
contributions to cover at least one of the following aspects
(although this list is by no means exhaustive, leaving the call
open to other related contributions):
● Fundamental science and theory of self-aware computing systems
● Levels and aspects of self-aware computing systems
● Architectures for individual and collective systems
● Measurements, quality assurance, and evaluation in self-aware
systems
● Verification & validation and testing
● Tool support for evaluation and measurements, and quality
assurance;
● Methods and algorithms for model learning (self-modeling) and
reasoning
● Self-adaptation in individual and collective systems
● Synthesis and verification metrics and benchmarks
● Transition strategies for increasing self-awareness in existing
systems
● Open challenges and future research directions
● Applications and case studies: cloud computing, cyber-physical
systems, data centers, dependable computing, industrial internet /
industry 4.0, internet of things, mobile computing,
service-oriented systems, smart buildings, smart city, smart grid
/ energy management, smart factory, traffic management, autonomous
robotics, and space applications.
# Submission
As an incentive, all article processing charges (APC) for articles
accepted as part of this Special Issue will be waived (not only
for workshop authors). More information regarding the special
issue and the submission can be found at
https://www.journals.elsevier.com/array/call-for-papers/self-aware-computing-systems-theory-application-and-eval
# Time schedule
• Submission system opens: September 1, 2020
• Paper submission deadline: December 31, 2020 (firm)
• Final acceptance: May 31, 2021
• Planned publication: August 1, 2021
# Guest editors
• Christian Krupitzer (Julius-Maximilians-Universität, Würzburg,
Germany)
• Peter Lewis (Aston University, Birmingham, UK)
• Ilias Gerostathopoulos (Vrije Universiteit Amsterdam, Amsterdam,
Netherlands)
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