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|Title: ||PERFORMANCE OF REAL-TIME FINANCIAL DATABASE SYSTEM|
|Authors: ||Somasundram, Rajakumar|
|Keywords: ||Query Oriented Designing|
|Issue Date: ||Jan-2007 |
|Abstract: ||The main objective of this research is to introduce a revolutionary new design called
Query Oriented Designing (QOD ) for real-time performance of Financial
Applications. The research explains the high-level database designing and partitioning
to achieve real-time system performance regardless of database growth. Systems
designed in this new method can withstand future database growth to provide the same
system response time throughout its lifespan regardless of the database size. QOD is
just the opposite of other older database designing concepts such as Relational Database
Many researches conducted in the field of system performance improvement have
pointed out that joining tables in the relational design slows down the query
performance and therefore they suggest denormalized design to certain extent to
improve the system performance. The idea of QOD was born after thinking deeper into
these denormalization methods.
The details of QOD challenges a lot of proven concepts of Relational Database Design.
QOD is anti to easy system maintenance, the price it has to pay to provide fast system
response time. The research explains the steps involved in designing a database using
this QOD method.
The research also lists the drawbacks in this new method and the trade off it can offer.
Finally the research concludes by recommending this new method for time critical
systems after taking into considerations various aspects of the difficult system
maintenance associated with this new method. The justification given is that, it is
worthwhile to achieve faster speed in computer systems by spending a one time
investment for hard disk and programming. QOD requires huge one time investment in
hard disk and programming, however it can provide long term benefits of providing
results in real-time speed which can amortize the initial investment cost in a short time
|Description: ||Master of Software Engineering|
|Appears in Collections:||Masters Dissertations: Computer Science|