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Implementing a Family of Distributed Garbage Collectors.

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Title: Implementing a Family of Distributed Garbage Collectors.
Authors: Norcross, Stuart1 Stuart@dcs.st-and.ac.uk, Morrison, Ron1 ron@dcs.st-and.ac.uk, Munro, Dave2 dave@cs.adelaide.edu.au, Detmold, Henry2 henry@cs.adelaide.edu.au, Falkner, Katrina2 katrina@cs.adelaide.edu.au
Source: Journal of Research & Practice in Information Technology. Feb2005, Vol. 37 Issue 1, p107-126. 20p. 2 Diagrams.
Subjects: Algorithms, Garbage collection (Computer science), Computer memory management, Distributed shared memory, Distributed computing
Abstract: This paper discusses implementations of distributed garbage collectors derived using a previously developed methodology which involves mappings of distributed termination detection algorithms (DTAs) to local garbage collection schemes. Implementations produced by such mappings preserve the safety and completeness properties of the original local collectors. Through our collector implementations we have come to understand that the derivation technique extends to distributed collection schemes with heterogeneous local collector behaviour. Our contribution, reported here, is the construction of an experimental platform, implementations of the Task Balancing DTA, an extension to the derivation methodology that minimises constraints on local collectors, together with three new mappings and their implementations. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Research & Practice in Information Technology is the property of Australian Computer Society Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Implementing a Family of Distributed Garbage Collectors.
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  Data: <searchLink fieldCode="AR" term="%22Norcross%2C+Stuart%22">Norcross, Stuart</searchLink><relatesTo>1</relatesTo><i> Stuart@dcs.st-and.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Morrison%2C+Ron%22">Morrison, Ron</searchLink><relatesTo>1</relatesTo><i> ron@dcs.st-and.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Munro%2C+Dave%22">Munro, Dave</searchLink><relatesTo>2</relatesTo><i> dave@cs.adelaide.edu.au</i><br /><searchLink fieldCode="AR" term="%22Detmold%2C+Henry%22">Detmold, Henry</searchLink><relatesTo>2</relatesTo><i> henry@cs.adelaide.edu.au</i><br /><searchLink fieldCode="AR" term="%22Falkner%2C+Katrina%22">Falkner, Katrina</searchLink><relatesTo>2</relatesTo><i> katrina@cs.adelaide.edu.au</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Research+%26+Practice+in+Information+Technology%22">Journal of Research & Practice in Information Technology</searchLink>. Feb2005, Vol. 37 Issue 1, p107-126. 20p. 2 Diagrams.
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  Data: <searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Garbage+collection+%28Computer+science%29%22">Garbage collection (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+memory+management%22">Computer memory management</searchLink><br /><searchLink fieldCode="DE" term="%22Distributed+shared+memory%22">Distributed shared memory</searchLink><br /><searchLink fieldCode="DE" term="%22Distributed+computing%22">Distributed computing</searchLink>
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  Data: This paper discusses implementations of distributed garbage collectors derived using a previously developed methodology which involves mappings of distributed termination detection algorithms (DTAs) to local garbage collection schemes. Implementations produced by such mappings preserve the safety and completeness properties of the original local collectors. Through our collector implementations we have come to understand that the derivation technique extends to distributed collection schemes with heterogeneous local collector behaviour. Our contribution, reported here, is the construction of an experimental platform, implementations of the Task Balancing DTA, an extension to the derivation methodology that minimises constraints on local collectors, together with three new mappings and their implementations. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Research & Practice in Information Technology is the property of Australian Computer Society Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Feb2005
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