Autonomic Analytics

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Abstract

As the size and complexity of cyber-physical systemscontinue to grow, there is a heightened need to develop newanalytical techniques capable of achieving a level of service withsuccessful operations upon which users can place even morereliance. This paper presents an emerging strategy for meetingthis demand ‘Autonomic Analytics’, utilizing the autonomiccomputing paradigm to deliver real-time, self-managing, contextand situation aware analytics. A three-tier rule-discoveryframework and associated support and analysis tools aredescribed. These assist with the development, management andmaintenance of analytical rules and beliefs to allow for theprogressive development evolution from ‘human-in-the-loop’ to‘human-on-the-loop’ towards the long-term (and some believeimpossible and undesirable) vision of ‘human-out-of-the-loop’.
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherIEEE Computer Society
Number of pages4
Publication statusPublished - Sep 2014
Event11th IEEE International Conference and Workshops on the Engineering of Autonomic & Autonomous - APL, Laurel, Maryland, USA
Duration: 1 Sep 2014 → …

Conference

Conference11th IEEE International Conference and Workshops on the Engineering of Autonomic & Autonomous
Period1/09/14 → …

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  • Cite this

    Sterritt, R. (2014). Autonomic Analytics. In Unknown Host Publication IEEE Computer Society.