2019 Workshop on Evaluations and Measurements in Self-Aware Computing Systems, at ICAC 2019, June 16-20 2019, Umeå, Sweden
Software is becoming more and more complex. In addition, it is required to work uninterruptedly, also in the presence of context changes, maintenance problems, or unexpected issues (e.g., failures, malicious threads, various workloads). In order to address the above mentioned issues timely and efficiently, systems are build as autonomous and as self-aware and self-managing as possible.
Concerning such systems, there are several open issues. One of these issues focuses on the possible evaluations and measurements related to the quality of these systems, to the quality of their design and performance, the quality of the self-* properties and autonomous features. For example, is it possible to quantify and compute the degree of autonomy or self-awareness of a system?
In this context, the Evaluations and Measurements in Self-Aware Computing Systems (EMSAC@ICAC/SASO) Workshop aims to address the issues and challenges concerning the evaluation of the quality (of the design and execution) of autonomous, self-aware and self-managing systems, as well as measurements concerning or related to the self-* or autonomous features of a system. We are also interested in approaches which manage the trade-offs among various different quality attributes and focus on the autonomy of the system. Existing quality assurance and evaluation solutions should be adapted and improved to meet the evolving and dynamic requirements of self-aware and self-managing systems. Novel design and evaluation solutions are needed to face the complexity of autonomy and self-management, as well as to evaluate and measure the self-* mechanisms and the advantages they bring, also with respect to the effort spent for their development.