Areas of Application
We have applied performance engineering methods in a wide variety of domains and have adapted our methods to changing technologies. The wide variety of areas in which we have worked illustrates our ability to contribute to the performance of new technologies and applications as they emerge.
The following are examples of areas of application.
• Data Analytics and Big Data
We have defined performance metrics for various aspects of an industrial data analytics system and compiled performance requirements that quantified the rates at which data for them would be ingested. We also provided guidance on architectural considerations in ensuring the timely movement of large quantities of data, and guidelines for benchmarking and testing the performance of various methods of analysis. • Positive Train Control & ETCS
We have worked on the relationship between performance requirements for positive train control and security considerations regarding the handling of control messages. We have also studied bandwidth requirements for control messages in Positive Train Control and ETCS. This was joint work with researchers at George Mason University, sponsored by the Federal Railroad Administration (FRA). Reports on this work are on the FRA’s web site. Learn more. • Automation and Control
We have used performance modeling to characterize the bandwidth demands and message delivery delays in a conveyor system in which routing decisions about parcels or suitcases are based on the results of queries to a database. [Link to Victoria paper: 17] We have also worked on the performance of various building monitoring systems in normal and stressful situations. • Telecommunications
We have applied performance engineering methods to many aspects of telecommunications, including call center routing, call signaling, network protocols, network management, call routing, operations support systems, provisioning, and enterprise convergence. • On-Line Financial Services and Applications
We have been involved in performance assessment or testing efforts of on-line transaction processing systems in the financial sector and of in-house processing of financial analyses. |