Virtualization involves capturing and simulating the behavior, data, and performance of dependent systems to replace them. It does this by first capturing constraints and processes, then modeling them with captured data, and finally simulating the models on demand. Service virtualization provides benefits like eliminating costly constraints by virtualizing entire test environments without requiring the actual services and data.

1. Introduction to Virtualization
Service Virtualization | A Case Study Approach
Krishnendu Dasgupta

2. Service Oriented Architecture
Quick Overview
Monitoring /Event Management
Process / Orchestration
Services
Data Services / Messaging
Data Abstraction
Security
Governance
Data
New
Services
Internet
services SOA Concepts
• SOA – An architectural model
independent of technology platform
• Web Services – A realization of SOA
• Use of Data Services
• Consumer Interface Layer
• Business Process Layer
• Service Components
• Operational Systems
• Integration Layer
• Quality of Services
• Informational and Governance

3. What is Service Virtualization
Process of capturing and simulating the behaviour , data and performance characteristics of dependable systems
CAPTURE
MODEL
SIMULATE
REPLACE
Diagrammatic Overview
Pic Courtesy : servicevirtualization.com
Constraints &
Processes
With the help
of Listeners
Correlates
into a VS with
the captured
data
Uses the
deployed
Virtual
Services on
Demand
Constraints
Time Lags
dependency

4. A Case Study Approach – CA LISA
• LISA Captures and Models Realistic Virtual Services
• LISA uses HTTP endpoints to realize the Services
• LISA Virtualizes entire test environments to eliminate costly
constraints
• LISA doesn’t require the actual services and data to run the system