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Design and Evaluation of a Lightweight Persistent Data Store for High-Frequent Concurrent Read and Write Accesses
This research project will systematically compare different design alternatives for a data store module that is tuned for concurrent accesses by multiple independent threads in a program. The particular access pattern is modelled after the specifics of automated securities trading programs implemented in Java. Based on a systematic evaluation, a prototype implementation will be developed that will allow X3 Trading to dramatically improve the efficiency of business application development.
Faculty Supervisor:
Martin Karsten
Student:
Partner:
X3 Trading Inc
Discipline:
Computer science
Sector:
Information and cultural industries
University:
University of Waterloo
Program:
Accelerate
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