{'fraction_non_alphanumeric': 0.022592152199762187, 'fraction_numerical': 0.0, 'mean_word_length': 4.971631205673759, '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}}
A real-time task model based on ideal instant

In many digital control applications, data acquisition and process control are time-critical actions, assumed to be instantaneous and strictly periodic. However, aspects related to real-time scheduling algorithms may postpone the task execution and, consequently, delay the data acquisition and process control. We consider the acquired data from sensors as valid if acquired inside a time-interval that surrounds an ideal instant which is the point of maximum system's benefit. The data acquired before or after this time-interval are considered useless to the controller. We propose a new task model to deal with the variation in the execution time of a specific point inside tasks. In this model, tasks have an ideal instant to present their results or acquire data from sensors (QoS metric)