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A service-oriented framework for GNU Octave-based performance prediction

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dc.contributor.author Kousiouris, G en
dc.contributor.author Kyriazis, D en
dc.contributor.author Konstanteli, K en
dc.contributor.author Gogouvitis, S en
dc.contributor.author Katsaros, G en
dc.contributor.author Varvarigou, T en
dc.date.accessioned 2014-03-01T02:46:40Z
dc.date.available 2014-03-01T02:46:40Z
dc.date.issued 2010 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/32765
dc.subject GNU Octave en
dc.subject Performance estimation en
dc.subject Quality of service en
dc.subject Service delivery en
dc.subject Service oriented infrastructures en
dc.subject.other Automated process en
dc.subject.other Distributed Computing en
dc.subject.other GNU Octave en
dc.subject.other Performance estimation en
dc.subject.other Performance prediction en
dc.subject.other Plug-ins en
dc.subject.other Prediction model en
dc.subject.other Service delivery en
dc.subject.other Service lifecycle en
dc.subject.other Service Oriented en
dc.subject.other Service provider en
dc.subject.other Service provisioning en
dc.subject.other Service-oriented infrastructures en
dc.subject.other Software solution en
dc.subject.other Transcoding en
dc.subject.other Automation en
dc.subject.other Distributed computer systems en
dc.subject.other Forecasting en
dc.subject.other Mathematical models en
dc.subject.other Quality control en
dc.subject.other Quality of service en
dc.subject.other Telecommunication services en
dc.title A service-oriented framework for GNU Octave-based performance prediction en
heal.type conferenceItem en
heal.identifier.primary 10.1109/SCC.2010.37 en
heal.identifier.secondary http://dx.doi.org/10.1109/SCC.2010.37 en
heal.identifier.secondary 5557222 en
heal.publicationDate 2010 en
heal.abstract Cloud/Grid environments are characterized by a diverse set of technologies used for communication, execution and management. Service Providers, in this context, need to be equipped with an automated process in order to optimize service provisioning through advanced performance prediction methods. Furthermore, existing software solutions such as GNU Octave offer a wide range of possibilities for implementing these methods. However, their automated use as services in the distributed computing paradigm includes a number of challenges from a design and implementation point of view. In this paper, a loosely coupled service-oriented implementation is presented, for taking advantage of software like Octave in the process of creating and using prediction models during the service lifecycle of a SOI. In this framework, every method is applied as an Octave script in a plug-in fashion. The design and implementation of the approach is validated through a case study application which involves the transcoding of raw video to MPEG4. © 2010 IEEE. en
heal.journalName Proceedings - 2010 IEEE 7th International Conference on Services Computing, SCC 2010 en
dc.identifier.doi 10.1109/SCC.2010.37 en
dc.identifier.spage 114 en
dc.identifier.epage 121 en


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