Abstract
Advanced device management utilizing autonomics has the target to automate an increasingly complex and expensive task of real-time introspection and inspection of large-scale distributed systems. An example of such a system is a mobile phone fleet. It uses machine-learning and probabilistic approaches. Achieving Advanced Device self-Managing (ADsM) capabilities in a highly reconfigurable mobile phone system can be considered as an inevitable next step in the evolution of today's management tools like the Open Mobile Alliance (OMA) Device Management (DM). The OMA DM framework is so far predominantly targeted towards the update of already sold mobiles by the device manufacturer and the provisioning of mobile network operator dependent settings. However, in future this centralized DM server architecture shall be replaced by a more device centric distributed structure. The "Advanced Device self Management" as proposed here provides a value-addition and a clear competitive advantage by applying autonomics and thus enabling self-management of mobile terminals.
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