51,248 research outputs found

    A method for service quality assessment in a service ecosystem

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    the increasing proliferation of independent application service providers is making traditional IT infrastructure insufficient when dealing with new issues that appear in a dynamic outsourcing business model. Quality of Service (QoS) gradually becomes an essential benchmark to differentiate diverse service providers during service selection process. In this paper, we argue service selection can be deemed as a decision making process - to decide which services providers should be selected within the specified service provision context during a definitive timeslot. Thus, existing decision support approaches can be leveraged if applicable. Hence, we propose a service selection solution which utilizes the Decision Support Systems Module (DSS Module) to select the most appropriate service. In DSS module we introduce AHP model to carry out the service QoS measurement based on the Context-specific Quality Aspects. The contributions of this paper are two folds. Firstly, we provide a novel and feasible solution for QoS-based service selection and secondly, we apply DSS module into web services, thus opening a new, fertile ground for DSS research in service ecosystem literature

    Exploring a digital ecosystem conceptual model and its simulation prototype

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    Digital ecosystems (DES) transcend the traditional rigorously defined collaborative environments from centralised or distributed or hybrid models into an open, flexible, domain cluster, demand-driven interactive environment. A digital ecosystem is new-networked architecture and collaborative environment that addresses the weakness of client-server, peer-to- peer and Web services. In this paper, we firstly introduce a conceptual model of DES. The design and implementation of a DES simulation is then presented to illustrate some fundamental characteristics for further DES study. Finally, we propose a novel approach to realise the DES built on top of the social software (SS) and swarm intelligence

    Comparison of web service architecture based on architecture quality properties

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    Web service research has been focused on the issues of automatic binding, performance, scalability, and security, however, little research has been done in evaluation of web service architectures, namely Broker based. Examples of these are Matchmaker Broker, Layered Matchmaker, Facilitator, Layered facilitator, and Peer to peer (P2P) based, such as P2P Discovery, Match Maker and P2P, Split Code and P2P execution, Mobile Code with P2P etc. Another consideration is its impact on the adoption in distributed Internet environment. In this paper we introduce a methodology for measuring and evaluating web service architecture style, and we present our development of a set of architectural quality properties, and use these quality properties to carry out comparison and contract of current web services architectures. We provide a detailed analysis and critique of these, and these could be served as a guidelines for the next generation of web services development, which could adopted into the distributed environment
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