The University of Southampton
University of Southampton Institutional Repository

Tree rerooting in distributed garbage collection: implementation and performance evaluation

Moreau, Luc (2001) Tree rerooting in distributed garbage collection: implementation and performance evaluation Higher-Order and Symbolic Computation, 14, (4), p. 357.

Record type: Article


We have recently defined a new algorithm for distributed garbage collection based on reference-counting [Moreau ICFP98,Moreau-Duprat ENS99]. At the heart of the algorithm, we find "tree rerooting", a mechanism able to reduce third-party dependencies by reorganising diffusion trees. In reality, the algorithm describes a spectrum of algorithms according to the policy used to manage messages. In this paper, we present the implementation of the algorithm and evaluate its performance. We have implemented two policies, which are extremes of the spectrum, respectively using and not using tree rerooting. In addition, two different strategies for managing action queues have been implemented. The conclusions of our experimentations are the following. Tree rerooting offers more parallelism during distributed GC activity; we explain this phenomenon by the length reduction of causality chains in the distributed GC. Grouping messages per destination dramatically reduces the number of messages, but requires a more complex implementation as messages have to be sorted per destination. Speed up of 100% has been observed on some benchmarks.

Other - Accepted Manuscript
Download (167kB)
PDF hosc01 - Accepted Manuscript
Download (366kB)

More information

Published date: December 2001
Additional Information: (Coloured figures can be found in
Organisations: Web & Internet Science


Local EPrints ID: 256397
ISSN: 1388-3690
PURE UUID: d758786c-b5c7-4c48-a43e-bd3a2d5ce26b
ORCID for Luc Moreau: ORCID iD

Catalogue record

Date deposited: 22 Mar 2002
Last modified: 18 Jul 2017 09:46

Export record


Author: Luc Moreau ORCID iD

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.