PerDiS PPF Case Study: Fitting a Distributed Garbage Collection Algorithm to a Persistent Distributed Store Architecture

Abstract : Several garbage collection algorithms exist, but it is not always straightforward to adapt them to a given platform. In this article, we describe our work to fit a distributed garbage collection algorithm to a persistant distributed store called PerDiS. We pinpoint ordering and consistency problems, and present the way we solved them. We also address the dilemma of performance versus modularity
keyword : gc rep mem
Type de document :
Communication dans un congrès
OOPSLA'97 Workshop on Garbage Collection and Memory Management, 1997, Atlanta GA, USA, United States. 1997
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https://hal.inria.fr/inria-00444640
Contributeur : Marc Shapiro <>
Soumis le : jeudi 7 janvier 2010 - 09:42:50
Dernière modification le : vendredi 25 mai 2018 - 12:02:05
Document(s) archivé(s) le : vendredi 18 juin 2010 - 00:28:13

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  • HAL Id : inria-00444640, version 1

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Xavier Blondel, Paulo Ferreira, Marc Shapiro. PerDiS PPF Case Study: Fitting a Distributed Garbage Collection Algorithm to a Persistent Distributed Store Architecture. OOPSLA'97 Workshop on Garbage Collection and Memory Management, 1997, Atlanta GA, USA, United States. 1997. 〈inria-00444640〉

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