Abstract
The joint 1st Workshop on Evaluations and Measurements in Self-Aware Computing Systems (EMSAC 2019) and Workshop on Self-Aware Computing (SeAC) was held as part of the FAS* conference alliance in conjunction with the 16th IEEE International Conference on Autonomic Computing (ICAC) and the 13th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO) in Umeå, Sweden on 20 June 2019. The goal of this one-day workshop was to bring together researchers and practitioners from academic environments and from the industry to share their solutions, ideas, visions, and doubts in self-aware computing systems in general and in the evaluation and measurements of such systems in particular. The workshop aimed to enable discussions, partnerships, and collaborations among the participants. This special issue follows the theme of the workshop. It contains extended versions of workshop presentations as well as additional contributions.
Highlights
Introduction to the SpecialIssue “Applications inSelf-Aware Computing Systems and their Evaluation”Christian Krupitzer 1, *, Benedikt Eberhardinger 2, Ilias Gerostathopoulos 3Claudia Raibulet 4 * andSoftware Engineering Group, Department of Computer Science, University of Würzburg, 97070 Würzburg, GermanyDepartment of Computer Science, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands; Dipartimento di Informatica, Sistemistica e Comunicazione, Universita’ degli Studi di Milano-Bicocca, Received: 18 March 2020; Accepted: 18 March 2020; Published: 21 March 2020 AbstractThe joint 1st Workshop on Evaluations and Measurements in Self-Aware ComputingSystems (EMSAC 2019) and Workshop on Self-Aware Computing (SeAC) was held as part of the FAS* conference alliance in conjunction with the 16th IEEE International Conference on Autonomic
Many different research communities have explored the aspects of selfawareness in computing systems, each from their own perspective
EMSAC aims to discuss the principles of quality assurance and evaluation/measurement for autonomous and self-managing systems and mechanisms, the current trends, the future issues and challenges to be addressed at design and run-time
Summary
The joint workshops Evaluations and Measurements in Self-Aware Computing Systems (EMSAC http://emsac2019.informatik.uni-wuerzburg.de/) and the Workshop on Self-Aware. Learn models, capturing knowledge about themselves and their environment (such as their structure, design, state, possible actions, and run-time behavior) on an ongoing basis; 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) and do so in accordance with high-level goals, which can change For this year’s edition, we had a special theme on IoT topics. EMSAC aims to discuss the principles of quality assurance and evaluation/measurement for autonomous and self-managing systems and mechanisms, the current trends, the future issues and challenges to be addressed at design and run-time. During the EMSAC workshop, we enabled discussions and collaborations among the software engineers interested in these themes
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