Performance and scalability of a replica location service

We describe the implementation and evaluate the performance of a replica location service that is part of the Globus Toolkit Version 3.0. A replica location service (RLS) provides a mechanism for registering the existence of replicas and discovering them. Features of our implementation include the u...

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Published inHigh Performance Distributed Computing: Proceedings of the 13th IEEE International Symposium on High Performance Distributed Computing; 04-06 June 2004 pp. 182 - 191
Main Authors Chervenak, A.L., Naveen Palavalli, Shishir Bharathi, Kesselman, C., Schwartzkopf, R.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2004
Subjects
Aggregates
Environmental management
Filters
Member services
Redundancy
Resonance light scattering
Resource management
Scalability
Transport protocols
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Summary:We describe the implementation and evaluate the performance of a replica location service that is part of the Globus Toolkit Version 3.0. A replica location service (RLS) provides a mechanism for registering the existence of replicas and discovering them. Features of our implementation include the use of soft state update protocols to populate a distributed index and optional Bloom filter compression to reduce the size of these updates. Our results demonstrate that RLS performance scales well for individual servers with millions of entries and up to 100 requesting threads. We also show that the distributed RLS index scales well when using Bloom filter compression for wide area updates.
Bibliography:SourceType-Conference Papers & Proceedings-1
ObjectType-Conference Paper-1
content type line 25
ISBN:0769521754
9780769521756
0780321754
ISSN:1082-8907
DOI:10.1109/HPDC.2004.1323525