A Generic Approach towards Measuring Level of Autonomicity in Adaptive Systems

Thaddeus Eze, Richard John Anthony, Alan Soper, Chris H. Walshaw · 2012

Abstract — This paper is concerned with setting the groundwork for the introduction of standards for Autonomic Computing, in terms of technologies and the composition of functionalities as well as validation methodologies. This is in line with addressing the lack of universal standards for autonomic (self-managing) systems and design methods used for them despite the increasingly pervasiveness of the technology. There are also significant limitations to the way in which these systems are assessed and validated, with heavy reliance on traditional design-time techniques, despite the highly dynamic behaviour of these systems in dealing with run-time configuration changes and environmental and context changes. These limitations ultimately undermine the trustability of these systems and are barriers to eventual certification. We propose that the first vital step in this chain is to introduce robust techniques by which the systems can

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