1. Project II Rule Optimizer for the Atlas Reactivity Engine CNT 5517-5564 Dr. Sumi Helal Computer & Information Science & Engineering Department University of Florida, Gainesville, FL 32611 helal@cise.ufl.edu

2. Manuals & Downloads The Atlas Class Web Page –http://www.icta.ufl.edu/atlas/http://www.icta.ufl.edu/atlas/ The Atlas Reactivity Engine –http://www.cise.ufl.edu/~helal/classes/AtlasRE.ziphttp://www.cise.ufl.edu/~helal/classes/AtlasRE.zip

3. Overall Architecture Atlas Middleware RE Optimizer Atlas Emulator Atlas Reactivity Engine Atlas Reactivity Engine Atlas Emulator Command Interpreter Command Interpreter

4. Atlas RE Engine An Event/Condition/Action paradigm A programming model for pervasive space A Command line interface to interact with the engine –View Basic Events & Actions. –Predefine: Events, Conditions and Actions –Define Rules –Accept commands & Provide results/feedback Engine interacts with the sensors /actuators through the Atlas middleware

5. EVENTS

6. Conditions

7. Rules Actions

8. Commands

9. Tokens & Delimiters

10. Optimization Frameworks Push/Pull Envelop Caching Evaluation Short Cuts Application Characteristics

11. Push / Pull Envelop Configuration of which sensors should participate, and if so, in which mode (push or pull, and if latter, at which frequency).

12. Example Caching: Time/Frequency Modifier

13. Evaluation Short Cuts Exploit Dominant Events – For a composite event whose sub-events are connected by logic +, some of its sub-events may have significantly higher probability of occurrence than others which makes them a dominant factor in determining the value of the composite event. ( Likewise, for composite events whose sub-events are connected by logic *, sub-events with lower probability of occurrence become dominant )

14. Project II Summary Form groups of 4 by no later than Friday Nov 5 noon. Understand all the components Study source code of RE Engine Develop the Optimizer –Think, formalize and create your algorithms –Implement Assess the success/failure of your Optimizer

15. Deliverables You will deliver source code with detailed documentation and about 5-10 pages report describing the following: Status of your project: what is completed and what not; what works and what not Your optimization ideas and strategies Formal description of your optimization algorithm Your experiment results Any additional features implemented and the rationale Conclusions