1. ACADEMIC ADVISOR DR. YUVAL ELOVICI TECHNICAL ADVISOR ASAF SHABTAI TEAM MAOR GUETTA, ARKADY MISHIEV Distributed - KBTA: A Distributed Framework for efficient computation of Knowledge-based Temporal abstractions

2. Knowledge-based Temporal Abstraction Developed by Prof. Yuval Shahar, 1997 Knowledge (KBTA Security ontology) Four inference mechanisms: - Temporal Context Forming - Contemporaneous Abstraction - Temporal Interpolation - Temporal Pattern Matching Higher Level Meaningful Temporal Information: - Contexts - Abstractions - Temporal Patterns Time-Stamped Raw Data: - Primitive Parameters - Events

3. The Goal Develop framework that manage a Parallel Computation of Knowledge-Based Temporal Abstractions (KBTA) by distributing the computation to stand-alone computation units.

4. Major Components  Computational Unit  Coordinator  Visualization Exploration Application (KBTA GUI)

5. KBTA Computational Unit Performing a KBTA process on the queries.  Represented by stand-alone machines with KBTA framework installed on them.

6. Coordinator Receives queries from user Analyzes a query Dispatches Plan the CUs Monitoring and visualizing CUs state Get results from CUs

7. Visualization Exploration Application (KBTA GUI)

8. System Diagram

9. Functional Requirements Handling Query (Analyzing Query and Generating Plans for CUs)  Receive Query  Analyzing the query  Generating plans for a processed query  Aggregation

10. Functional Requirements contd. CU Management  Register/Unregister  Dispatch Plan/Get results from CU  Monitor and Visualize CU State

11. Non-Functional Requirements Speed Modularity Optimal distribution strategy

12. Thanks…