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13th IEEE International Symposium on High Performance Distributed Computing (HPDC-13 '04)
Performance and Scalability of a Replica Location Service
Honolulu, Hawaii USA
June 04-June 06
ISBN: 0-7803-2175-4
ASCII Text
x 
 
Ann L. Chervenak, Naveen Palavalli, Shishir Bharathi, Carl Kesselman, Robert Schwartzkopf, "Performance and Scalability of a Replica Location Service," High-Performance Distributed Computing, International Symposium on, pp. 182-191, 13th IEEE International Symposium on High Performance Distributed Computing (HPDC-13 '04), 2004.
 
 
BibTex
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@article{ 10.1109/HPDC.2004.27,
author = {Ann L. Chervenak and Naveen Palavalli and Shishir Bharathi and Carl Kesselman and Robert Schwartzkopf},
title = {Performance and Scalability of a Replica Location Service},
journal ={High-Performance Distributed Computing, International Symposium on},
volume = {0},
year = {2004},
issn = {1082-8907},
pages = {182-191},
doi = {http://doi.ieeecomputersociety.org/10.1109/HPDC.2004.27},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - High-Performance Distributed Computing, International Symposium on
TI - Performance and Scalability of a Replica Location Service
SN - 1082-8907
SP182
EP191
A1 - Ann L. Chervenak,
A1 - Naveen Palavalli,
A1 - Shishir Bharathi,
A1 - Carl Kesselman,
A1 - Robert Schwartzkopf,
PY - 2004
KW - null
VL - 0
JA - High-Performance Distributed Computing, International Symposium on
ER -
 
Ann L. Chervenak, University of Southern California Information Sciences Institute
Naveen Palavalli, University of Southern California Information Sciences Institute
Shishir Bharathi, University of Southern California Information Sciences Institute
Carl Kesselman, University of Southern California Information Sciences Institute
Robert Schwartzkopf, University of Southern California Information Sciences Institute
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.
Citation:
Ann L. Chervenak, Naveen Palavalli, Shishir Bharathi, Carl Kesselman, Robert Schwartzkopf, "Performance and Scalability of a Replica Location Service," hpdc, pp.182-191, 13th IEEE International Symposium on High Performance Distributed Computing (HPDC-13 '04), 2004
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