Applications in Self-Aware Computing Systems and their Evaluation
Deadline for manuscript submissions: closed (31 December 2019) | Viewed by 30182
Interests: self-organizing systems; software engineering; software architectures; experimental algorithmic; predictive analytics; artificial intelligence; data analytics
Interests: self-adaptive systems; software architecture; software engineering; data-driven decisions and experimentation
Interests: self-aware computing systems; self-adaptive systems; cyberphysical systems; Industry 4.0; data analytics
Special Issues, Collections and Topics in MDPI journals
Interests: software engineering; software architectures; design patterns; self-adaptive systems; evaluation of self-adaptive systems; smart systems; context-aware systems
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@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.
Dr. Benedikt Eberhardinger
Dr. Ilias Gerostathopoulos
Dr. Christian Krupitzer
Dr. Claudia Raibulet
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Computers is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Self-aware computing systems
- Self-adaptive systems
- Evaluation of adaptive systems
- Application of adaptive systems
- Development support for adaptive systems