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OPNET Technologies OPNET is a registered |
1. Performance Evaluation and Prediction of Ecommerce Applications In this project we are interested in predicting, measuring, and diagnosing
of eCommerce application performance across the application lifecycle, from
development through deployment to production. In the increasingly competitive
eCommerce the application’s performance, such as response time is
critical, especially where the competition is just "one click"
away. Application’s performance affects revenue. When an
application performs poorly it is always the network that is blamed, rather
than the application. These performance problems may result from several
areas including application design or slow database servers. Using OPNET
students will develop methodologies to identify the source of application
slowdowns and resolve their causes. After analyzing the applications students
will make recommendations for optimization. The result is faster applications
and better response times. 2. Active Agents Algorithm for Differentiated Services in Networks with
Bursty Traffic Measurements of real network traffic prove that traffic burstiness is present on a wide range of time scales. Traffic that is bursty on many or all time scales can be characterized statistically using the concept of self-similarity. For reasons such as self-similarity, providing Quality of Service (QoS) for various packet streams becomes increasingly important. The Internet Differentiated Services (DiffServ or DS) is one of several other frameworks that intend to provide QoS. The objective of the project is to present a new protocol that can be implemented in DiffServ. We develop an active networking architecture for minimizing the packet loss due to congestions caused by self-similar traffic. When the traffic burstiness increases at a router, the router spreads out the packets over k new paths leading to the destination(s) of the original traffic. The selection of the new paths is based on cost estimates of the traffic spreading and routers’ effectiveness in reducing the number of dropped packets in previous traffic spreading. Using the discrete event simulation tool OPNET we demonstrate how our algorithm improves the DiffServ model. 3. Courses Using OPNET ACS 407 Telecommunications Fundamentals ACS 477 Wide Area Networks |
