A toolset for performance engineering and software design of client-server systems

Franks, Greg; Hubbard, Alex; Majumdar, Shikharesh; Neilson, J. E.; Petriu, Dorina C.; Rolia, Jerry; Woodside, Murray

doi:10.1016/0166-5316(95)96869-t

Cited by 85 publications

(63 citation statements)

References 9 publications

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“…LQN was developed as an extension of the well-known QN model, at first independently in [20], [21] and [15], then as a joint effort [5]. The LQN toolset presented in [5] includes both simulation and analytical solvers.…”

Section: The Lqn Modelmentioning

confidence: 99%

“…The LQN toolset presented in [5] includes both simulation and analytical solvers. The main difference with respect to QN is that LQN can easily represent nested services: a server which receives and serves client requests, may become in turn a client to other servers from which it requires nested services while serving its own clients.…”

Section: The Lqn Modelmentioning

confidence: 99%

“…The paper proposes a graph-grammar based method for transforming a UML model annotated with performance information into a Layered Queueing Network (LQN) performance model [20], [21]. The input to our transformation algorithm is an XML file that contains an annotated UML model in XML format according to the standard XMI interface [9], and the output is the corresponding LQN model description file, which can be read directly by existing LQN solvers [5]. The transformation algorithm described in the paper was completely implemented in Java on top of a rather large open source Java library that implements and manipulates the UML metamodel [23].…”

Section: Introductionmentioning

confidence: 99%

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Applying the UML Performance Profile: Graph Grammar-Based Derivation of LQN Models from UML Specifications

Petriu

Shen

2002

Computer Performance Evaluation: Modelling Techniques and Tools

111

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The Object Management Group (OMG) is in the process of defining a UML Profile for Schedulability, Performance and Time that will enable the construction of models for making quantitative predictions regarding these characteristics. The paper proposes a graph-grammar based method for transforming automatically a UML model annotated with performance information into a Layered Queueing Network (LQN) performance model. The input to our transformation algorithm is an XML file that contains the UML model in XML format according to the standard XMI interface. The output is the corresponding LQN model description file, which can be read directly by existing LQN solvers. The LQN model structure is generated from the high-level software architecture and from deployment diagrams indicating the allocation of software components to hardware devices. The LQN model parameters are obtained from detailed models of key performance scenarios, represented as UML interaction or activity diagrams.

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Section: The Lqn Modelmentioning

confidence: 99%

Section: The Lqn Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Applying the UML Performance Profile: Graph Grammar-Based Derivation of LQN Models from UML Specifications

Petriu

Shen

2002

Computer Performance Evaluation: Modelling Techniques and Tools

111

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“…Using transforming method, like proposed in [15], a LQN performance model can be derived from the UML models of Fig.7-Fig.9, which can be read directly by existing LQN solvers [16]. Then, performance estimates can be extracted for varying system parameters by using the LQN model.…”

Section: Case Studymentioning

confidence: 99%

Completing UML Model of Component-Based System with Middleware for Performance Evaluation

Zhang

Chen

Wei

et al. 2006

Emerging Directions in Embedded and Ubiquitous Computing

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Abstract. To free analysts from knowing about the internal details of middleware when evaluating the performance of component-based system (CBS), this paper proposes a framework to automatically integrate middleware component interactions and their performance attributes to application Unified Model Language (UML) model. The framework defines a general sub-model template library of middleware, a middleware usage description file, and an approach to compositing application-specific sub-model instances and application UML models. The process is illustrated by a case study.

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“…It integrates tools for symbolic computation (Mathematica [2]) and an LQN solver [3]. The implementation allows us to automatically determine a complete configuration based on the problem specification.…”

Section: Introductionmentioning

confidence: 99%

Configuration of distributed message converter systems

Risse

Aberer

Wombacher

et al. 2004

Performance Evaluation

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Finding a configuration of a distributed system satisfying performance goals is a complex search problem that involves many design parameters, like hardware selection, job distribution and process configuration. Performance models are a powerful tool to analyze potential system configurations, however, their evaluation is expensive, such that only a limited number of possible configurations can be evaluated. In this paper we present a systematic method to find a satisfactory configuration with feasible effort, based on a two-step approach. First, performing a queuing network analysis a hardware configuration is determined and then a software configuration is incrementally optimized by simulating Layered Queuing Network models. We applied this method to the design of performant EDI converter systems in the financial domain, where increasing message volumes need to be handled due to the growing importance of B2B interaction.

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A toolset for performance engineering and software design of client-server systems

Cited by 85 publications

References 9 publications

Applying the UML Performance Profile: Graph Grammar-Based Derivation of LQN Models from UML Specifications

Applying the UML Performance Profile: Graph Grammar-Based Derivation of LQN Models from UML Specifications

Completing UML Model of Component-Based System with Middleware for Performance Evaluation

Configuration of distributed message converter systems

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