Academic advisor Dr. Yuval Elovici Technical advisor Asaf Shabtai Team

ACADEMIC ADVISOR DR . YUVAL ELOVI CI

TECHNICAL ADVISOR ASAF SHAB TAI

TEAMMAOR GUET TA , ARKADY MI SHI EV

Distributed - KBTA: A Distributed Framework for efficient

computation of Knowledge-based Temporal abstractions

Knowledge-basedTemporal 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

The Goal

Develop framework that manage a Parallel Computation of Knowledge-Based Temporal

Abstractions (KBTA) by distributing the computation to stand-alone computation

units.

Major Components

Computational Unit Coordinator Visualization Exploration Application (KBTA GUI)

KBTA Computational Unit

Performing a KBTA process on the queries. Represented by stand-alone machines with KBTA

framework installed on them.

Coordinator

Receives queries from userAnalyzes a queryDispatches Plan the CUsMonitoring and visualizing CUs stateGet results from CUs

Visualization Exploration Application (KBTA GUI)

System Diagram

Coordinator Computational Units

Database

Monitoring Module

Query Module

Comp. UnitScheduler

User interface

Functional Requirements

Handling Query (Analyzing Query and Generating Plans for CUs) Receive Query Analyzing the query Generating plans for a processed query Aggregation

Functional Requirements contd.

CU Management Register/Unregister Dispatch Plan/Get results from CU Monitor and Visualize CU State

Non-Functional Requirements

SpeedModularityOptimal distribution strategy

Thanks…