Evaluating the performance of ejb components

Gorton, Ian; Liu, A.

doi:10.1109/mic.2003.1200296

Cited by 44 publications

(13 citation statements)

References 4 publications

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“…Further efforts have been carried out in the category of optimisation by identifying influence factors such as the thread pool size or the number of deployed beans [19]. Comparisons of cluster performances are investigated, for instance in [20]. Software analysis includes examination of different Enterprise Java Beans (EJBs) systems, types of beans, local vs. remote invocations, transaction and security options (e.g.…”

Section: Related Workmentioning

confidence: 99%

Performance simulation of a context provisioning middleware based on empirical measurements

Reetz¹,

Knappmeyer²,

Kiani³

et al. 2013

Simulation Modelling Practice and Theory

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Section: Related Workmentioning

confidence: 99%

Performance simulation of a context provisioning middleware based on empirical measurements

Reetz¹,

Knappmeyer²,

Kiani³

et al. 2013

Simulation Modelling Practice and Theory

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“…A key aim of this technology is to leverage Java's "Write once, run anywhere" model. It has been shown [5] that stateless session beans with BMP can run very efficiently (comparable to servlet-only implementations). Hence our model is designed to represent only stateless session beans at this time.…”

Section: Ejb Architecturementioning

confidence: 99%

“…Some previous work exists that looks at the performance of EJB Systems (see [4], [5], [6]). There are also some analytical models of an EJB Server (see [7], [8]).…”

Section: Model Designmentioning

confidence: 99%

A simulation model of a multi-server EJB system

Guinness

Murphy

2005

Proceedings of the First International Workshop on Advances in Model-Based Testing - A-Most '05

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Despite the fact that EJB (Enterprise Java Beans) is a widely used technology, research in the area of performance modelling of EJB application servers is quite sparse. This paper will describe how Workbench TM, an advanced simulation modelling tool, can be used to build a scalable model of a multi-server EJB system that allows users to input variables that describe interactions and their constituent methods, as well as system parameters. The model will output the average time for each given user interaction and allow users to seek system improvements by changing the system parameters and workloads. IntroductionThe Java 2 Platform Enterprise Edition has demonstrated its use as an important standard for developing component-based multi-tier enterprise applications. The J2EE platform simplifies enterprise applications by basing them on standardized, modular components and providing a complete set of services to those components by handling many details of application behavior automatically, without complex programming [1]. A set of APIs is defined in J2EE to enable quick and efficient application building as well as a run-time infrastructure to host them. A key component of J2EE, Enterprise JavaBeans (EJB), has established itself as one of the leading architectures for developing and deploying secure, scalable and reliable applications.As the use of such systems in Web-based, e-commerce environments expands, the need to model the performance of these systems becomes ever more important in facilitating optimal architectural design choices and system parameterisation. The goal of this paper is to describe a model that has been developed to simulate an EJB system in terms of its input parameters and to see what effect these inputs have on the response times for given interactions.The modelling environment used is Hyperformix Workbench TM 4.0. Workbench TM is a general Discrete Event (DE) simulator with an extensive set of high-level simulation operations as well as a rich set of statistical and queuing functions. As Workbench TM is particularly well suited to specifying and evaluating complex systems involving a high degree of concurrent processing, it is ideally suited to modelling an EJB system [2]. This paper will be split into the following sections. Section 2 provides some background on EJB. Section 3 describes the Workbench TM simulation software used, discusses the parameters that are input to the model and outlines how the model runs and what its outputs are. Section 4 describes the experiments that were run and Section 5 draws some conclusions and identifies some future research directions. EJB EnvironmentEJB defines a model for the deployment of reusable EJB components that can be assembled into a secure, scalable and reliable application that can run on any EJB-compliant application server.The goal of this technology is to provide users with the following features:• Platform Independence -Regardless of the underlying operating system, protocol or enterprise middleware services the EJB application ...

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“…Some architecture such as common object request broker architecture (CORBA), component object model (COM) and Enterprise Java Beans (EJB) have been presented to support implementations of reuse and reconfiguration, but these models depend on middleware servers and are not suitable for measurement systems due to their high system overhead [8][9][10] .…”

Section: Introductionmentioning

confidence: 99%

Software Reconfiguration Patterns for Instrumentation Architectures

Zhang¹,

Zhu²

2015

TOAUTOCJ

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Dynamic reconfiguration in all kinds of applications is absorbing more and more research focus for its demand in automatic measurement system for low-cost products and short time to market. This study proposes a software reconfiguration instrumentation architecture, which is built on component and software data bus models. In the architecture, the measurement system software is viewed as an integration of a set of reusable components, which are modeled with routing workflow for measurement, data process logic for execution of behavioral specifications and a series of communication ports for data exchange with others. The behaviors of the instrumentation system software can be viewed as an integration of components and their interactions and specified in application specification, which is based on routing workflow and independent of component implementation. When the measurement system needs to be reconfigured to adapt to the changing application requirements, the software using the architecture can be easily reconfigured by changing reusable components and their interactions in application specification and reconfiguration can be achieved at the executable code level after the software is implemented. Finally, a reconfigurable measurement platform based on above software architecture for testing engineering signal has been developed and the goal of higher reconfiguration, lower development and maintenance costs are achieved with the proposed architecture.

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Evaluating the performance of ejb components

Cited by 44 publications

References 4 publications

Performance simulation of a context provisioning middleware based on empirical measurements

Performance simulation of a context provisioning middleware based on empirical measurements

A simulation model of a multi-server EJB system

Software Reconfiguration Patterns for Instrumentation Architectures

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