Throughput Comparison of Professional JMS Servers (2006)
BibTeX
@MISC{Menth06throughputcomparison,
author = {Michael Menth and Robert Henjes and Sebastian Gehrsitz and Christian Zepfel and Michael Menth and Robert Henjes and Sebastian Gehrsitz and Christian Zepfel},
title = {Throughput Comparison of Professional JMS Servers},
year = {2006}
}
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Abstract
The Java messaging service (JMS) facilitates communication among distributed software components according to the publish/subscribe principle. If the subscribers install filter rules on the JMS server, JMS can be used as a message routing platform, but it is not clear whether its message throughput is sufficiently high to support large-scale systems. In this paper, we investigate the capacity of three high performance JMS server implementations: FioranoMQ, SunMQ, and WebshereMQ. In contrast to other studies, we focus on the message throughput in the presence of filters and show that filtering reduces the performance significantly. We present models for the message processing time of each server and validate them by measurement. These models depend on the number of installed filters and the replication grade of the messages, and predict the overall message throughput for specific application scenarios. Finally, we illustrate the use of these models by comparing the message throughput of the three servers in four different application scenarios. 1
Keyphrases
professional jms server message throughput throughput comparison installed filter high performance jms server implementation large-scale system publish subscribe principle message processing time different application scenario specific application scenario replication grade distributed software component jms server overall message throughput java messaging service filter rule present model
