Abstract
The project focuses on programming solutions like multi-threaded reading, preprocessing of data, and using memory mapped files provided by the Java New I/O API to reduce I/O bottlenecks which is one of the major performance degrading factors for faster data access. The project also explores the possibility of utilizing databases as a solution to study and compare the performance of database querying over flat file reading.
Publication Date
2008
Document Type
Master's Project
Student Type
Graduate
Department, Program, or Center
Computer Science (GCCIS)
Advisor
Bischof, Hans-Peter
Advisor/Committee Member
Raj, Rajendra
Advisor/Committee Member
Bailey, Reynold
Recommended Citation
Patel, Payal, "Efficient data access techniques for large structured data files" (2008). Thesis. Rochester Institute of Technology. Accessed from
https://repository.rit.edu/theses/6931
Campus
RIT – Main Campus
Comments
Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works in February 2013.