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dc.date.accessioned 2012-10-31T14:33:01Z
dc.date.available 2012-10-31T14:33:01Z
dc.date.issued 2001-10
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/23326
dc.description.abstract This paper describes two parallel algorithms for the eÆcient processing of relational database transactions and presents a performance analysis of them. These algorithms are built upon the bulk-synchronous parallel model of computation. The well-de ned structure of this model enabled us to evaluate their performance by using an implementation independent and yet em- pirical approach which includes the e ects of synchronization, communication and computation. The analysis reveals that the algorithm which borrows ideas from optimistic parallel discrete event simulation achieves better performance than the classical approach for synchronizing con- current transactions on a distributed memory system. en
dc.language en es
dc.subject relational database transactions en
dc.subject Parallel processing es
dc.subject distributed memory en
dc.subject Parallel algorithms es
dc.subject Concurrent Programming es
dc.title On bulk-synchronous distributed-memory parallel processing of relational-database transactions en
dc.type Objeto de conferencia es
sedici.creator.person Marín, Mauricio es
sedici.creator.person Casas, Sandra es
sedici.description.note Eje: Programación concurrente es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Red de Universidades con Carreras en Informática (RedUNCI) es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
sedici.date.exposure 2001-10
sedici.relation.event VII Congreso Argentino de Ciencias de la Computación es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)