Configuration of Distributed Message Converter Systems using Performance Modeling

To find 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 tools to analyse 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, using performance estimates a hardware configuration is determined and then the software configuration is incrementally optimized evaluating Layered Queueing 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 increasing importance of B2B interaction

A Review on Software Performance Analysis for Early Detection of Latent Faults in Design Models

Organizations and society could face major breakdown if IT strategies do not comply with performance requirements. This is more so in the era of globalization and emergence of technologies caused more issues. Software design models might have latent and potential issues that affect performance of software. Often performance is the neglected area in the industry. Identifying performance issues in the design phase can save time, money and effort. Software engineers need to know the performance requirements so as to ensure quality software to be developed. Software performance engineering a quantitative approach for building software systems that can meet performance requirements. There are many design models based on UML, Petri Nets and Product-Forms. These models can be used to derive performance models that make use of LQN, MSC, QNM and so on. The design models are to be mapped to performance models in order to predict performance of system early and render valuable feedback for improving quality of the system. Due to emerging distributed technologies such as EJB, CORBA, DCOM and SOA applications became very complex with collaboration with other software. The component based software systems, software systems that are embedded, distributed likely need more systematic performance models that can leverage the quality of such systems. Towards this end many techniques came into existence. This paper throws light into software performance analysis and its present state-of-the-art. It reviews different design models and performance models that provide valuable insights to make well informed decisions

A methodology for software performance modeling and its application to a border inspection system

It is essential that software systems meet their performance objectives. Many factors affect software performance and it is fundamental to identify those factors and the magnitude of their effects early in the software lifecycle to avoid costly and extensive changes to software design, implementation, or requirements. In the last decade the development of techniques and methodologies to carry out performance analysis in the early stages of the software lifecycle has gained a lot of attention within the research community. Different approaches to evaluate software performance have been developed. Each of them is characterized by a certain software specification and performance modeling notation.;In this thesis we present a methodology for predictive performance modeling and analysis of software systems. We use the Unified Modeling Language (UML) as a software modeling notation and Layered Queuing Networks (LQN) as a performance modeling notation. Our focus is on the definition of a UML to LQN transformation We extend existing approaches by applying the transformation to a different set of UML diagrams, and propose a few extensions to the current UML Profile for Schedulability, Performance, and Time , which we use to annotate UML diagrams with performance-related information. We test the applicability of our methodology to the performance evaluation of a complex software system used at border entry ports to grant or deny access to incoming travelers

Deriving software performance models from Architectural patterns by graph transformations

The paper proposes a formal approach to building software performance models for distributed and/or concurrent software systems from a description of the system’s architecture by using graph transformations. The performance model is based on the Layered Queueing Network (LQN) formalism, an extension of the well-known Queueing Network modelling technique [16, 17, 8]. The transformation from the architectural description of a given system to its LQN model is based on PROGRES, a known visual language and environment for programming with graph rewriting systems [9-1

Deriving Software Performance Models from Architectural Patterns by Graph Transformations

. The paper proposes a formal approach to building software performance models for distributed and/or concurrent software systems from a description of the system's architecture by using graph transformations. The performance model is based on the Layered Queueing Network (LQN) formalism, an extension of the well-known Queueing Network modelling technique [16, 17, 8]. The transformation from the architectural description of a given system to its LQN model is based on PROGRES, a known visual language and environment for programming with graph rewriting systems [9-11]. The transformation result is an LQN model that can be analysed with existent solvers [5]. 1 Introduction It is generally accepted that performance characteristics, such as response time and throughput, play an important role in defining the quality of software products. In order to meet the performance requirements of such systems, the software developers should be able to assess and understand the effect of various desig..