SÜSTEEMIDE SÜSTEEMI OLUKORRA HINDAMISEST SELLE KOMPONENTIDE VÕIMEMUDELITE ABIL

ASSESSMENT OF SITUATIONAL AWARENESS FOR SYSTEM OF SYSTEMS BY TRUSTING IN CAPABILITY-BASED MODELS OF ITS COMPONENTS

Abstract

In real life we sometimes stumble on a problem of assessing situational awareness (SA) of holistic system of systems that is composed of many interoperating heterogeneous organisations – e.g. country’s comprehensive (all-embracing) defence system that comprises military organisations, law enforcement organisations (including rescue agencies), critical infrastructure organisations, and others. For managing and controlling the behaviour of any system of systems we need near real-time decision-making ability that stems from the measurements taken via models of constituent systems. This paper suggests using near real-time measurements taken from capability-based models for estimating SA in constituent system. It is true that capability-based models provide only partial and approximate information about the situation awareness of system of systems. At the same time, capability- based models, due to their near real-time and (verifiable) trustworthy data improves the decision-making quality, as compared with potential decisions stemming from the conventionally provided statistical data. Capability-based models come from the DoDAF (Department of Defence Architecture Framework) methodology and are identified as Capability Viewpoint models (class CV-2) that are built on capability taxonomy. Capability taxonomy is an important simplifying factor, since quite often assessment of status of only some taxonomy elements is sufficient for estimating the health condition of the particular capability.