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
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https://hal.inria.fr/inria-00444640
Contributor : Marc Shapiro <>
Submitted on : Thursday, January 7, 2010 - 9:42:50 AM
Last modification on : Friday, May 25, 2018 - 12:02:05 PM
Long-term archiving on : Friday, June 18, 2010 - 12:28:13 AM

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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. ⟨inria-00444640⟩

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