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13th IEEE International Symposium on High Performance Distributed Computing (HPDC-13 '04)
Honolulu, Hawaii USA
June 04-June 06
ISBN: 0-7803-2175-4
ASCII Text
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Nithya Vijayakumar, Beth Plale, "Performance Evaluation of Rate-Based Join Window Sizing for Asynchronous Data Streams," High-Performance Distributed Computing, International Symposium on, pp. 260-261, 13th IEEE International Symposium on High Performance Distributed Computing (HPDC-13 '04), 2004.
 
 
BibTex
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@article{ 10.1109/HPDC.2004.28,
author = {Nithya Vijayakumar and Beth Plale},
title = {Performance Evaluation of Rate-Based Join Window Sizing for Asynchronous Data Streams},
journal ={High-Performance Distributed Computing, International Symposium on},
volume = {0},
year = {2004},
issn = {1082-8907},
pages = {260-261},
doi = {http://doi.ieeecomputersociety.org/10.1109/HPDC.2004.28},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - High-Performance Distributed Computing, International Symposium on
TI - Performance Evaluation of Rate-Based Join Window Sizing for Asynchronous Data Streams
SN - 1082-8907
SP260
EP261
A1 - Nithya Vijayakumar,
A1 - Beth Plale,
PY - 2004
KW - null
VL - 0
JA - High-Performance Distributed Computing, International Symposium on
ER -
 
Nithya Vijayakumar, Indiana University, Bloomington
Beth Plale, Indiana University, Bloomington
Our work is motivated by the large number of data stream sources that define mesoscale meteorology where asynchronous streams are commonplace. Techniques for performing filtering, aggregation, and transformation on multiple streams must be effective for the case of asynchronous streams. Rate Sizing algorithm (RS-Algo) links the number of events waiting to participate in a join to the rate of the streams responsible for their delivery. In this poster, we show the results of performance evaluation of the RS-Algo. The gains in memory utilization are largest under asynchronous streams.
Citation:
Nithya Vijayakumar, Beth Plale, "Performance Evaluation of Rate-Based Join Window Sizing for Asynchronous Data Streams," hpdc, pp.260-261, 13th IEEE International Symposium on High Performance Distributed Computing (HPDC-13 '04), 2004
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