{'fraction_non_alphanumeric': 0.012569832402234637, 'fraction_numerical': 0.0, 'mean_word_length': 5.076271186440678, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
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.