Executing the Quartz Analysis Engine on a Cell Processor Based Cluster

The aim of this project is to assist Flagstone RE, a global reinsurer in evaluating whether the Quartz Analysis Engine, which is currently running on a conventional cluster, could benefit from being ported to a cluster of cell processors. Improved performance could allow for timely processing of larger data sets, resulting in better prediction accuracy.

Faculty Supervisor:

Drs Frank Dehne and Norbert Zeh

Student:

Glenn Hickey

Partner:

Flagstone RE

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Carleton University

Program:

Accelerate

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