Simplifying autonomic enterprise Java Bean applications via model-driven engineering and simulation

White, Jules; Schmidt, Douglas C.; Gokhale, Aniruddha

doi:10.1007/s10270-007-0057-9

Cited by 10 publications

(3 citation statements)

References 23 publications

(26 reference statements)

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“…(cf. [162,163]). For this purpose a set of tools is provided which supports developers to fulfill their tasks.…”

Section: Jarir Et Almentioning

confidence: 99%

A Realistic Approach for the Autonomic Management of Component-Based Enterprise Systems

Bruhn

2009

Schriften Aus Der Fakultät Wirtschaftsinformatik Und Angewandte Informatik Der Otto-Friedrich-Universität Bamberg

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“…(cf. [162,163]). For this purpose a set of tools is provided which supports developers to fulfill their tasks.…”

Section: Jarir Et Almentioning

confidence: 99%

A Realistic Approach for the Autonomic Management of Component-Based Enterprise Systems

Bruhn

2009

Schriften Aus Der Fakultät Wirtschaftsinformatik Und Angewandte Informatik Der Otto-Friedrich-Universität Bamberg

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“…J2EEML is a DSL to visually configure QoS requirements and properties in Enterprise Java Beans (EJB) applications such as response time and message scheduling algorithms [25]. It assumes a stable domain-specific metamodel, and do not address the issue of customization of DSLs, i.e., do not provide means to customize metamodels.…”

Section: Related Workmentioning

confidence: 99%

iNetLab: A Model-Driven Development and Performance Engineering Environment for Autonomic Network Applications

Wada

Lee

Suzuki

et al. 2009

Autonomic Computing and Networking

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A key software engineering challenge in autonomic computing is the complexity of administrating operational policies of applications. In order to address this challenge, this chapter proposes and evaluates a new development environment, called iNetLab, which is designed to improve the productivity of designing, maintaining and tuning operational policies in autonomic network applications. iNetLab consists of (1) a set of visual modeling languages specialized to define operational policies in network applications, (2) a set of supporting facilities for those modeling languages, and (3) tools estimates the performance of a network application with its operational policy under development. The proposed visual modeling languages and their supporting facilities can simplify and semi-automate the process to design and maintain operational policies by allowing application administrators (i.e., non programmers) to graphically deal with operational policies in an intuitive manner. The proposed performance estimation tools leverage the performance history of each network application (i.e., pairs of an operational policy and a performance result obtained in the past) and approximate the application's performance without deploying and running it actually. This simplifies the process to tune operational policies against desirable performance requirements and contributes to shorten the time to develop autonomic applications.

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“…Many platform-specific as well as platform-independent component structural modeling languages, such as Embedded Systems Modeling Language(ESML) [9] for embedded systems, J2EEML [17] for Enterprise Java Beans, and Platform Independent Component Modeling Language (PICML) [2] for Light-weight CORBA Component Model [12] (LwCCM) exist today that capture various composition semantics. In this paper we have focused on languages developed using GME since CQML is also developed using GME.…”

Section: Identifying Invariant Properties Of Componentbased Structuramentioning

confidence: 99%

Towards a QoS Modeling and Modularization Framework for Component-based Systems

Tambe

Dabholkar

Gokhale

et al. 2008

2008 12th Enterprise Distributed Object Computing Conference Workshops

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Current domain-specific modeling (DSM) frameworks for designing component-based systems provide modeling support for system's structural as well as non-functional or quality of service (QoS) concerns. However, the focus of such frameworks on system's non-functional concerns is an after-thought and their support is at best adhoc. Further, such frameworks lack strong decoupling between the modeling of the system's structural composition and their QoS requirements. This lack of QoS modularization limits (1) reusability of such frameworks, (2) ease of their maintenance when new non-functional characteristics are added, and (3) independent evolution of the modeling frameworks along both the structural and non-functional dimensions. This paper describes Component QoS Modeling Language (CQML), which is a reusable, extensible, and platform-independent QoS modeling language that provides strong separation between the structural and nonfunctional dimensions. CQML supports independent evolution of structural metamodel of composition modeling languages as well as QoS metamodel. To evaluate, we superimpose CQML on a purely structural modeling language and automatically generate, configure, and deploy componentbased fault-monitoring infrastructure using aspect-oriented modeling (AOM) techniques.

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Simplifying autonomic enterprise Java Bean applications via model-driven engineering and simulation

Cited by 10 publications

References 23 publications

A Realistic Approach for the Autonomic Management of Component-Based Enterprise Systems

A Realistic Approach for the Autonomic Management of Component-Based Enterprise Systems

iNetLab: A Model-Driven Development and Performance Engineering Environment for Autonomic Network Applications

Towards a QoS Modeling and Modularization Framework for Component-based Systems

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