30 research outputs found

    Comparaison et évolution de schémas XML

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    XML has become the de facto format for data exchange. We aim at establishing a multi-system environment where some local original systems work in harmony with a global integrated system, which is a conservative evolution of local ones. Data exchange is possible in both directions, allowing activities on both levels. For this purpose, we need schema mapping whose is to ensure schema evolution, and to guide the construction of a document translator, allowing automatic data adaptation wrt type evolution. We propose a set of tools to help dealing with XML database evolution. These tools are used : (i) to compute a mapping capable of obtaining a global schema which is a conservative extension of original local schemas, and to adapt XML documents ; (ii) to compute the set of integrity constraints for the global system on the basis of the local ones ; (iii) to compare XML types of two systems in order to replace a system by another one ; (iv) to correct a new document with respect to an XML schema. Experimental results are discussed, showing the efficiency of our methods in many situations.XML est devenu le format standard d’échange de données. Nous souhaitons construire un environnement multi-système où des systèmes locaux travaillent en harmonie avec un système global, qui est une évolution conservatrice des systèmes locaux. Dans cet environnement, l’échange de données se fait dans les deux sens. Pour y parvenir nous avons besoin d’un mapping entre les schémas des systèmes. Le but du mapping est d’assurer l’évolution des schémas et de guider l’adaptation des documents entre les schémas concernés. Nous proposons des outils pour faciliter l’évolution de base de données XML. Ces outils permettent de : (i) calculer un mapping entre le schéma global et les schémas locaux, et d’adapter les documents ; (ii) calculer les contraintes d’intégrité du système global à partir de celles des systèmes locaux ; (iii) comparer les schémas de deux systèmes pour pouvoir remplacer un système par celui qui le contient ; (iv) corriger un nouveau document qui est invalide par rapport au schéma d’un système, afin de l’ajouter au système. Des expériences ont été menées sur des données synthétiques et réelles pour montrer l’efficacité de nos méthodes

    Engineering Agile Big-Data Systems

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    To be effective, data-intensive systems require extensive ongoing customisation to reflect changing user requirements, organisational policies, and the structure and interpretation of the data they hold. Manual customisation is expensive, time-consuming, and error-prone. In large complex systems, the value of the data can be such that exhaustive testing is necessary before any new feature can be added to the existing design. In most cases, the precise details of requirements, policies and data will change during the lifetime of the system, forcing a choice between expensive modification and continued operation with an inefficient design.Engineering Agile Big-Data Systems outlines an approach to dealing with these problems in software and data engineering, describing a methodology for aligning these processes throughout product lifecycles. It discusses tools which can be used to achieve these goals, and, in a number of case studies, shows how the tools and methodology have been used to improve a variety of academic and business systems

    Engineering Agile Big-Data Systems

    Get PDF
    To be effective, data-intensive systems require extensive ongoing customisation to reflect changing user requirements, organisational policies, and the structure and interpretation of the data they hold. Manual customisation is expensive, time-consuming, and error-prone. In large complex systems, the value of the data can be such that exhaustive testing is necessary before any new feature can be added to the existing design. In most cases, the precise details of requirements, policies and data will change during the lifetime of the system, forcing a choice between expensive modification and continued operation with an inefficient design.Engineering Agile Big-Data Systems outlines an approach to dealing with these problems in software and data engineering, describing a methodology for aligning these processes throughout product lifecycles. It discusses tools which can be used to achieve these goals, and, in a number of case studies, shows how the tools and methodology have been used to improve a variety of academic and business systems

    Combining SOA and BPM Technologies for Cross-System Process Automation

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    This paper summarizes the results of an industry case study that introduced a cross-system business process automation solution based on a combination of SOA and BPM standard technologies (i.e., BPMN, BPEL, WSDL). Besides discussing major weaknesses of the existing, custom-built, solution and comparing them against experiences with the developed prototype, the paper presents a course of action for transforming the current solution into the proposed solution. This includes a general approach, consisting of four distinct steps, as well as specific action items that are to be performed for every step. The discussion also covers language and tool support and challenges arising from the transformation

    Performance-aware component composition for GPU-based systems

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    Automatic performance optimisation of component-based enterprise systems via redundancy

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    Component technologies, such as J2EE and .NET have been extensively adopted for building complex enterprise applications. These technologies help address complex functionality and flexibility problems and reduce development and maintenance costs. Nonetheless, current component technologies provide little support for predicting and controlling the emerging performance of software systems that are assembled from distinct components. Static component testing and tuning procedures provide insufficient performance guarantees for components deployed and run in diverse assemblies, under unpredictable workloads and on different platforms. Often, there is no single component implementation or deployment configuration that can yield optimal performance in all possible conditions under which a component may run. Manually optimising and adapting complex applications to changes in their running environment is a costly and error-prone management task. The thesis presents a solution for automatically optimising the performance of component-based enterprise systems. The proposed approach is based on the alternate usage of multiple component variants with equivalent functional characteristics, each one optimized for a different execution environment. A management framework automatically administers the available redundant variants and adapts the system to external changes. The framework uses runtime monitoring data to detect performance anomalies and significant variations in the application's execution environment. It automatically adapts the application so as to use the optimal component configuration under the current running conditions. An automatic clustering mechanism analyses monitoring data and infers information on the components' performance characteristics. System administrators use decision policies to state high-level performance goals and configure system management processes. A framework prototype has been implemented and tested for automatically managing a J2EE application. Obtained results prove the framework's capability to successfully manage a software system without human intervention. The management overhead induced during normal system execution and through management operations indicate the framework's feasibility

    Deriving Goal-oriented Performance Models by Systematic Experimentation

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    Performance modelling can require substantial effort when creating and maintaining performance models for software systems that are based on existing software. Therefore, this thesis addresses the challenge of performance prediction in such scenarios. It proposes a novel goal-oriented method for experimental, measurement-based performance modelling. We validated the approach in a number of case studies including standard industry benchmarks as well as a real development scenario at SAP
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