TESTINGMANTRA - BLOG
Blog
Testing Types
Usability Testing
Smoke Testing
Load Testing
Stress Testing
Domain Testing
Exploratory Testing
Recovery Testing
Scenario Testing
Regression Testing
User Acceptance Testing
Alpha Testing
Beta Testing
Unit Testing
Static & Dynamic Analysis Testing
Functional Testing
Ad-hoc Testing
Volume Testing
System Testing
Sanity Testing
Black Box Testing
Interoperability Testing
Volume Testing Techniques
Gray Box Testing
White Box testing
Articals
Agile Development
Coverage Criteria for GUI Testing
Release Life Cycle
Quality Concept
TQM - Total Quality Management
When are the Test Plan written
Unit Testing Advantages & Techniques
Classification of Defect
Requirement Testing Techniques
When is Testing Complete?
Quantative Project Management
Software Configuration Management
When to use Regression Testing?
V-Model Concept of Testing
Activity of Software Test Engineer
Risk Management
Sanity Testing A Overview
Website Security Smoke Test Template
Software Testing Techniques
Requirements & Specifications
Traceability Matrix
Test Plan - Objectives and Benefits
Agile Testing - Master the new game
Testing Vocabulary
SQL Tutorial
Test Strategy
Error Handling Testing
SDLC - Concept
Steps of Software Testing Life Cycle
Why to use Metrics?
Defect Tracking
SyncML
Mobile Testing
GSM Basic
Cellular Network Architecture
Mobile Communication Overview
Mobile & handheld usability testing
Why Mobile Testing is different
True BREW Testing
VOIP Testing
SIP Testing - An overview
SIP Messages
Structure of SIP Protocol
SIP Important terms
SDLC Model
Software Development Life Cycle
Waterfall model
Spiral Model
V-Model
Iterative Model
Big Bang Model
RAD Model
Prototype Model
SOFTWARE TESTING
Test Plan
Test Case & Test Design techniques
Templates
Software Project Template
Software Testing Template
Automated Testing Tools
QTP
Winrunner
JUnit
Selenium IDE
LoadRunner
JMeter
Estimation Techniques
Using Use Case Points
Quick Estimation Technique
Testing Estimation Process
Certifications
CSQA
CSTE
                                                                                                                                                                  Usability Testing      Smoke Testing      Load Testing      Stress Testing      Domain Testing      Exploratort Testing       Recovery Testing      Scenario Testing      Regression Testing      User Acceptance Testing      Alpha Testing      Beta Testing      Unit Testing      Static & Dynamic Analysis Testing                                                                                             







Share
Follow us at Twitter
Follow us at Facebook
Share
Interoperability testing has become a requirement for companies that deploy multi-vendor networks. To satisfy this requirement, network and storage providers and managers have three options.

   1. Set up an interoperability lab, an expensive and time-consuming project.

   2. Use a third-party interoperability lab, such as ISOCORE or the University of New Hampshire.

   3. Create a proof-of-concept lab, such as the labs at Cisco or Spirent Communications.
These labs typically connect the devices with a copper or fiber-optic patch cable and run the tests. Such testing reflects a best-case scenario that is useful for base-line interoperability testing but doesn’t represent how the devices will interoperate in an actual network.


It is analogous to testing the auto-pilot system of an airplane to see if it could land the plane in ideal weather conditions. While the test proves the plane can land itself on a perfect day, it is not a predictor of how the system will behave in wide range of weather conditions under which a plane will have to operate.
Sometimes spools of fiber are used to create the delay found in wide area networks. While this is an improvement over patch cables, there are three major limitations to proof of concept and interoperability testing with spools of fiber:

   1. Spools of fiber cannot provide dynamic tests. The tests must be manually stopped and restarted to change out the spool of fiber for one with a different length.

   2. Spools of fiber are expensive and impractical. Imagine the cost associated with moving an 50,000 km spool of fiber to another lab.

   3. Spools of fiber only provide delay. They do not address the various other impairments that exist in a network.

It is as if we improved our auto-pilot system testing to include fixed amounts of wind from a single direction. Factors such as fog, rain, snow and wind sheers are still ignored in the testing. Weather conditions are dynamic and multifaceted. Testing under a single condition is not a realistic test. As with weather, so it is with networks. Impairments in real networks do not limit themselves to a single issue.

Anue Network Emulators allow you to land your plane under any combination of adverse weather conditions.

Anue Network Emulators enable savvy network and storage providers to characterize and validate applications performance based upon multiple factors. These factors include dynamic delay representing distances up to 50,000 km, jitter, bit errors, packet sequencing and loss.
Interoperability Testing
Related Articles:
Load Testing
Stress Testing
Domain Testing
Exploratory Testing
Recovery Testing
User Acceptance Testing
Alpha Testing
Beta Testing
Unit Testing
Static & Dynamic Analysis Testing
Functional Testing
Ad-hoc Testing
Load Testing
Stress Testing
Domain Testing
Exploratory Testing
Recovery Testing
User Acceptance Testing
Alpha Testing
Beta Testing
Unit Testing
Static & Dynamic Analysis Testing
Functional Testing
Ad-hoc Testing
Volume Testing
Cellular Network Architechture
Mobile Communication Overview
GSM Basic