{'fraction_non_alphanumeric': 0.02335279399499583, 'fraction_numerical': 0.0025020850708924102, 'mean_word_length': 5.629834254143646, '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}}
Autonomics and Self-Management extending Advanced Device Management

This contribution aims at automating an increasingly complex and expensive task of real-time introspection and inspection of large-scale distributed systems like a mobile phone fleet by using state-of-art machine-learning, probabilistic reasoning and information-theoretic approaches. Achieving advanced device self-managing (ADsM) capabilities in end to end reconfigurable mobile phone systems and networks is a central goal of E2R2, which is considered an inevitable next step in the evolution of today's management tools like the open mobile alliance (OMA) device management (DM). This framework is so far predominantly targeted towards the update of already sold mobiles by the device manufacturer. Another main aspect is the provisioning of operator dependent settings. Given the incredible rapid growth in network-size, complexity and considering desired abilities like dynamic spectrum management for spectrum-trading, moving the management plane to a higher abstraction layer is essential to keep track. This paper focuses on the enabling peer to peer (P2P) routing and collaborating basis as a common knowledge foundation