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Harvard
Einarsson, F. (2015) Improving the performance of graph transformation execution in the BSP model - By improving a code generator for EMF Henshin. Göteborg : Chalmers University of Technology
BibTeX
@mastersthesis{
Einarsson2015,
author={Einarsson, Fredrik},
title={Improving the performance of graph transformation execution in the BSP model - By improving a code generator for EMF Henshin},
abstract={Model-Driven Engineering is widely used within Software Engineering to increase
the level of abstraction and thereby increase the efficiency and maintainability of
software projects. Combining the notion of Graph Transformations with the Bulk
Synchronous Parallel (BSP); big-data problems can be solved using a model-driven
approach. However, such solutions are still in their early phases and do not provide
the required performance. This presents the performance issues with a current approach
for executing Henshin transformation models on a Hadoop cluster utilizing
the BSP implementation Apache Giraph. A solution, in the form of an improved
code generator, is developed in order to address the problems. The improved approach
is evaluated using a purposefully designed set of synthetic graphs, transformations
rules and a real data example. The real data example is the IMDB movie
database and the evaluation is performed on a compute cluster. The results indicate
that the new solution performs better and uses less memory for the synthetic graphs
and rules with particular characteristics while it in this particular real data example
shows no significant difference.},
publisher={Institutionen för data- och informationsteknik (Chalmers), Chalmers tekniska högskola},
place={Göteborg},
year={2015},
keywords={incremental graph pattern matching, graph transformations, bulk synchronous parallel, cluster benchmark},
note={95},
}
RefWorks
RT Generic
SR Electronic
ID 219825
A1 Einarsson, Fredrik
T1 Improving the performance of graph transformation execution in the BSP model - By improving a code generator for EMF Henshin
YR 2015
AB Model-Driven Engineering is widely used within Software Engineering to increase
the level of abstraction and thereby increase the efficiency and maintainability of
software projects. Combining the notion of Graph Transformations with the Bulk
Synchronous Parallel (BSP); big-data problems can be solved using a model-driven
approach. However, such solutions are still in their early phases and do not provide
the required performance. This presents the performance issues with a current approach
for executing Henshin transformation models on a Hadoop cluster utilizing
the BSP implementation Apache Giraph. A solution, in the form of an improved
code generator, is developed in order to address the problems. The improved approach
is evaluated using a purposefully designed set of synthetic graphs, transformations
rules and a real data example. The real data example is the IMDB movie
database and the evaluation is performed on a compute cluster. The results indicate
that the new solution performs better and uses less memory for the synthetic graphs
and rules with particular characteristics while it in this particular real data example
shows no significant difference.
PB Institutionen för data- och informationsteknik (Chalmers), Chalmers tekniska högskola,
LA eng
LK http://publications.lib.chalmers.se/records/fulltext/219825/219825.pdf
OL 30
