Throughput performance of popular JMS servers

Menth, Michael; Henjes, Robert; Zepfel, Christian; Gehrsitz, Sebastian

doi:10.1145/1140103.1140323

Cited by 8 publications

(2 citation statements)

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“…In addition, for every physical location, a set of threads (referred to as driver threads) is launched to drive the benchmark interactions that are logically started at that location. [13][14][15][16][17][18][19][20]. While the benchmarks we mentioned have been employed extensively for performance testing and system analyses, unfortunately, they use artificial workloads that do not reflect any real-world application scenario.…”

Section: Specjms2007mentioning

confidence: 99%

Benchmarking Publish/Subscribe-Based Messaging Systems

Sachs

Appel

Kounev

et al. 2010

Lecture Notes in Computer Science

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Abstract. Publish/subscribe-based messaging systems are used increasingly often as a communication mechanism in data-oriented web applications. Such applications often pose serious performance and scalability challenges. To address these challenges, it is important that systems are tested using benchmarks to evaluate their performance and scalability before they are put into production. In this paper, we present jms2009-PS, a new benchmark for publish/subscribe-based messaging systems built on top of the SPECjms2007 standard workload. We introduce the benchmark and discuss its configuration parameters showing how the workload can be customized to evaluate various aspects of publish/subscribe communication. Finally, we present a case study illustrating how the benchmark can be used for performance analysis of messaging servers.

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Section: Specjms2007mentioning

confidence: 99%

Benchmarking Publish/Subscribe-Based Messaging Systems

Sachs

Appel

Kounev

et al. 2010

Lecture Notes in Computer Science

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show abstract

“…There are attempts to predict the performance of JMS Providers [15], or study and compare the performance of different vendors of JMS Providers [16]. Additionally there are some best practices [10] identified to improve the JMS Providers performance.…”

Section: Introductionmentioning

confidence: 99%

Self-regulating Message Throughput in Enterprise Messaging Servers – A Feedback Control Solution

G¹,

Muthusamy²,

Babu³

2012

IJACSA

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Abstract-EnterpriseMessaging is a very popular message exchange concept in asynchronous distributed computing environments. The Enterprise Messaging Servers are heavily used in building business critical Enterprise applications such as Internet based Order processing systems, pricing distribution of B2B, geographically dispersed enterprise applications. It is always desirable that Messaging Servers exhibit high performance to meet the Service Level Agreements (SLAs). There are investigations in this area of managing the performance of the distributed computing systems in different ways such as the IT administrators configuring and tuning the Messaging Servers parameters, implement complex conditional programming to handle the workload dynamics. But in practice it is extremely difficult to handle such dynamics of changing workloads in order to meet the performance requirements. Additionally it is challenging to cater to the future resource requirements based on the future workloads. Though there have been attempts to self-regulate the performance of Enterprise Messaging Servers, there is a limited investigation done in exploring feedback control systems theory in managing the Messaging Servers performance. We propose an adaptive control based solution to not only manage the performance of the servers to meet SLAs but also to pro-actively self-regulate the performance such that the Messaging Servers are capable to meet the current and future workloads. We implemented and evaluated our solution and observed that the control theory based solution will improve the performance of Enterprise Messaging Servers significantly.

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performance evaluation

Sfeir¹,

Schwabe²,

Iselt³

SpringerReference

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Throughput performance of popular JMS servers

Cited by 8 publications

References 0 publications

Benchmarking Publish/Subscribe-Based Messaging Systems

Benchmarking Publish/Subscribe-Based Messaging Systems

Self-regulating Message Throughput in Enterprise Messaging Servers – A Feedback Control Solution

performance evaluation

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