Improving the performances of JMS-based applications
International Journal of Autonomic Computing
Performance evaluation of message-oriented middleware using the SPECjms2007 benchmark
Performance Evaluation
Modeling event-driven service-oriented systems using the palladio component model
Proceedings of the 1st international workshop on Quality of service-oriented software systems
Impact of complex filters on the message throughput of the activeMQ JMS server
ITC20'07 Proceedings of the 20th international teletraffic conference on Managing traffic performance in converged networks
Self-optimization of clustered message-oriented middleware
OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems: CoopIS, DOA, ODBASE, GADA, and IS - Volume Part I
Predictive modelling of peer-to-peer event-driven communication in component-based systems
EPEW'10 Proceedings of the 7th European performance engineering conference on Computer performance engineering
Integration of event-based communication in the palladio software quality prediction framework
Proceedings of the joint ACM SIGSOFT conference -- QoSA and ACM SIGSOFT symposium -- ISARCS on Quality of software architectures -- QoSA and architecting critical systems -- ISARCS
Constructing performance model of JMS middleware platform
Proceedings of the 5th ACM/SPEC international conference on Performance engineering
Performance modeling and analysis of message-oriented event-driven systems
Software and Systems Modeling (SoSyM)
| Hi-index | 0.00 |
The Java messaging service (JMS) is a middlewareoriented messaging technology working according to the publish/ subscribe principle. If 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 the Websphere Message Queue JMS server. 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 also present a model that describes the service time for a single message depending on the number of installed filters and validate it by measurements. This model helps to calculate the system throughput for specific application scenarios.