Increasing automation requires open, distributed, service-oriented systems capable of multicriteria-driven, dynamic adaptation for appropriate response to changing operating conditions. We combine a simple architecture with a novel algorithm to enable openness, distribution, and multi-criteria-driven service composition at runtime. The service-oriented architecture involves mediator web services coordinating other web services into compositions necessary to fulfil user requests. By basing mediator services? behavior on a novel multicriteria-driven (including quality of service, deadline, reputation, cost, and user preferences) reinforcement learning algorithm, which integrates the exploitation of acquired knowledge with optimal, undirected, continual exploration, we ensure that the system is responsive to changes in the availability of web services. The reported experiments indicate the algorithm behaves as expected and outperforms two standard approaches.


    Access

    Download


    Export, share and cite



    Title :

    Dynamic Web Service Composition within a Service-Oriented Architecture



    Publication date :

    2007-01-01


    Type of media :

    Paper


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    DDC:    629



    A Dynamic Service-Oriented Software Architecture for Highly Automated Vehicles

    Kampmann, Alexandru / Alrifaee, Bassam / Kohout, Markus et al. | IEEE | 2019


    MyBot: Cloud-Based Service Robot using Service-Oriented Architecture

    Koubâa, Anis / Sriti, Mohamed-Foued / Javed, Yasir et al. | BASE | 2017

    Free access

    Netweaver updated to service-oriented architecture

    British Library Online Contents | 2004


    ELECTRICAL ARCHITECTURE FOR SERVICE-ORIENTED VEHICLE DIAGNOSTICS

    PALAI DIBYENDU / SHINDE SACHIN | European Patent Office | 2022

    Free access

    ELECTRICAL ARCHITECTURE FOR SERVICE-ORIENTED VEHICLE DIAGNOSTICS

    PALAI DIBYENDU / SHINDE SACHIN | European Patent Office | 2022

    Free access