Data Communication Optimization between Mobile Devices and Servers

With data being the new digital currency, consumption of data is growing at an exponential rate. Data communication between mobile devices and servers generates a massive cost to businesses because of the high throughput. The business impact becomes exponentially large with respect to cellular bills and additional resources handling elevated server workloads. The objective of this project would be to research various methodologies for data compression, understanding existing data transmission algorithms and applying new techniques to reduce the size of data being transmitted. During the project, we would first establish a baseline for the current transmission models and other techniques. Then we could start to research areas where newer compression, serialization, and data differential techniques could be applied. Finally, the experimental result could be integrated into products to facilitate faster transmission between mobile devices and servers.

Faculty Supervisor:

Eyal de Lara

Student:

Partner:

SOTI Inc

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

University of Toronto

Program: