Large Data Visualization in Real Time

A successful computer application can easily have millions of users, but handling the network traffic generated by millions of users is not easy. The server system has to be well designed in order to properly process large, concurrent, and distributed data streams without affecting user experience. In addition, users do not generate data constantly, they often put a burst of load on the network instead. Therefore, the server system needs to be scalable as well. This research project is to find a technique or combination of techniques that makes the server system scalable and capable of handling large scale, highly concurrent, and distributed data streams in order to improve user experience.

Faculty Supervisor:

Nick Koudas

Student:

Linzhi Feng

Partner:

TimePlay Inc

Discipline:

Computer science

Sector:

Other

University:

University of Toronto