dc.contributor.advisor | McCormack, Tom | en |
dc.contributor.advisor | Partridge, Tony | en |
dc.contributor.author | Sankot, Michal | en |
dc.date.accessioned | 2017-03-21T11:10:20Z | |
dc.date.available | 2017-03-21T11:10:20Z | |
dc.date.issued | 2004 | |
dc.identifier.citation | Sankot, M. (2004) Scheduling and optimisng XML pipeline processing | en |
dc.identifier.other | MSc | en |
dc.identifier.uri | https://research.thea.ie/handle/20.500.12065/660 | |
dc.description.abstract | This thesis describes PropelXbi - an implementation of the XPipe paradigm -
then investigates and critically assesses relevant techniques which have the
potential for streamlining PropelXbi’s performance and, finally, it presents and
tests improvements in PropelXbi which are achieved by implementing a number
of devised enhancements.
XPipe is a paradigm for processing a great number o f very large XML
documents in an efficient way. PropelXbi is a commercial implementation of
the XPipe paradigm based on JMS and J2EE architecture. Relevant topics we
have investigated include architectures and enhancement techniques used in
parallel processing, Jackson Inversion, TupleSpaces, Project JXTA and Grid
computing technologies. We have implemented a J2SE-based compact version
of PropelXbi runtime (compiled pipelines) and a Grid-based distributed version
of PropelXbi. Tests showed that the compact version of PropelXbi runtime
achieves significantly better performance than original J2EE version. Tests also
showed, that distributed processing can be used for streamlining PropelXbi’s
performance and that the distributed version follows the same laws as other
standard parallel processing systems. This thesis identifies potential
enhancements from different areas o f computing which can be used not only for
streamlining PropelXbi, but also for any other similar large-scale document
processing system, and demonstrates that they can be efficiently utilised. | en |
dc.format | PDF | en |
dc.language.iso | en | en |
dc.subject | XML (Document markup language) | en |
dc.subject | Computing platforms. | en |
dc.subject | Electronic data processing -- Distributed processing. | en |
dc.title | Scheduling and optimising XML pipeline processing | en |
dc.type | Master thesis (research) | en |
dc.publisher.institution | Institute of Technology, Sligo | en |
dc.rights.access | Creative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND | en |
dc.subject.department | Computing and Creative Practices ITS | en |