@mastersthesis{RISC3854,author = {Amira Zaki},
title = {{Re-engineering of a Grid Aware Medical Database System Based on a Metamodel}},
language = {english},
abstract = {Over the last few decades, the amount of medical data available through the advancements
in medical and clinical researches has greatly increased. Therefore, the need for huge storage
capacities, eective data retrieval methods and high performance computations has become
signicantly important. The aim of this work was to develop a simplied metamodel for
SEE++, a software system for the computer-aided simulation of eye motility disorders and
their treatments. The poor performance of the current over-engineered metamodel was the
driving force behind the necessary enhancements. Thus, the newly developed metamodel
allows the integration into a Grid environment to achieve near real-time performance for
the numerous simulations and complex calculations performed. This was done using an
instantiation of YAMM, a tool for creating web-based database applications based on a
metamodel, comprising both the data and model conjointly in a relational back-end. Our
work involved restructuring YAMM to parse its database interactions into a generic form
to query any resource. An interoperability layer was created to handle various database
connections. The use of a relational back-end was implemented and an interface was designed
for using any other system like a Grid-aware database. Moreover, the methodology
of instantiating YAMM to represent the SEE++ data model was investigated, resulting in
the discovery of a few problems in YAMM's expressiveness, which introduced ambiguity in
the SEE++ data model representation.},
year = {2009},
month = {July},
translation = {0},
school = { Internationaler Universitätslehrgang Informatics: Engineering & Management (ISI Hagenberg)},
length = {65}
}