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 language | English |
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| Title of host publication | Unknown Host Publication |
| Publisher | IEEE Computer Society |
| Number of pages | 4 |
| Publication status | Published (in print/issue) - Sept 2014 |
| Event | 11th IEEE International Conference and Workshops on the Engineering of Autonomic & Autonomous - APL, Laurel, Maryland, USA Duration: 1 Sept 2014 → … |
Conference
| Conference | 11th IEEE International Conference and Workshops on the Engineering of Autonomic & Autonomous |
|---|---|
| Period | 1/09/14 → … |