Autonomic control of network sensing quality with situational assessment

Sensing errors may occur in the form of inaccurate and/or delayed reporting of system and/or external events. The sensing errors may skew the control actions performed by an adaptive network system S on its external environment - and hence contribute to control errors. Given that sensing and control errors do arise due to imprecise and incomplete knowledge about the computational models of S, a model-based treatment of sensing errors allows quantifying their impact on the control accuracy. Our paper describes a software cybernetics framework to deal with data sensing errors that arise during the operations of a complex network system.