[hpc-announce] CFPs for the Special Issue "Applications in Self-Aware Computing Systems and their Evaluation"

christian.krupitzer at uni-wuerzburg.de christian.krupitzer at uni-wuerzburg.de
Mon Apr 29 08:22:16 CDT 2019


Dear Colleagues,

We apologize if you received multiple CFPs for the Special Issue
"Applications in Self-Aware Computing Systems and their Evaluation"

==========================================

Special Issue "Applications in Self-Aware Computing Systems and their
Evaluation"
 <https://www.mdpi.com/journal/computers/special_issues/SeAC_EMSAC>
https://www.mdpi.com/journal/computers/special_issues/SeAC_EMSAC

==========================================

Deadline for manuscript submissions: 30 October 2019

During the past decade, many different research communities have explored
the aspects of self-awareness in computing systems, each from their own
perspective. Relevant work can be found in different areas, including
autonomic computing, self-adaptive and self-organizing software and systems,
machine learning, artificial intelligence and multi-agent systems, organic
computing, context- and situation-aware systems, reflective computing,
model-predictive control, as well as work from the models at run-time
community. More specifically, self-aware computing systems are understood as
having two main properties. They (1) learn models, capturing knowledge about
themselves and their environment (such as their structure, design, state,
possible actions, and runtime behavior) on an ongoing basis; and (2) reason
using the models (to predict, analyze, consider, or plan), which enables
them to act based on their knowledge and reasoning (for example, to explore,
explain, report, suggest, self-adapt, or impact their environment). They do
so in accordance with high-level goals, which can change.

This Special Issue addresses all facets of research in the area of
self-aware computing 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 to the evaluation of these systems, including objectives,
metrics, tools, procedure, methodologies, reference systems, and benchmarks.

Selected papers presented at the Workshop on Self-Aware Computing (SeAC) as
well as the Workshop on Evaluations and Measurements in Self-Aware Computing
Systems (EMSAC) are invited to submit their extended versions to this
Special Issue of the journal Computers. All submitted papers will undergo
our standard peer-review procedure. Accepted papers will be published in
open access format in Computers and collected together on the Special Issue
website.

Conference papers should be cited and noted 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.

Topics:
- Self-aware computing systems
- Self-adaptive systems
- Evaluation of adaptive systems
- Application of adaptive systems
- Development support for adaptive systems

 

 

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Dr. Christian Krupitzer
Research Group Leader at the

Chair of Computer Science II - Software Engineering
held by Prof. Dr.-Ing. Samuel Kounev

University of Würzburg
Am Hubland, Informatikgebäude (M2), Room A110
97074 Würzburg, Germany

Phone: +49 (931) 31 83252, Fax: +49 (931) 31-83252
 <https://go.uniwue.de/krupitzer> https://go.uniwue.de/krupitzer

 

 



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