Research On Composition Marketing Decision And Optimization Management Of Multilateral Collaboration Oriented Web Service Composition

Web service composition is an integrated product of the information industry and modern service industry. It is formed by lots of relatively simple web services allocated by certain business process logic. With the increasing quality of service (QoS) requirement by network customers, web service integrators (WSIs) begin paying more attention to their individual needs. Independent service vendors (ISVs) and other collaborators or even customers gradually get involved in the process of web service composition marketing decision and web service composition optimization management.Currently, the study of web service composition technology is fledged, while many problems still need to be studied in web service composition management, such as how to improve the flexibility and interactivity of web service composition to meet the individual needs of different customers, how to improve the QoS indicator system of web service composition to achieve the effective expansion for the service functions and QoS, how to optimize and configure the online and offline service resources of the WSIs and ISVs and how to achieve a multilateral collaboration oriented web service composition optimization management by WSIs, ISVs, other collaborators and customers.To solve those problems above, this dissertation seeks to use online consumer behavior theory, value chain theory, collaborative management theory, fuzzy mathematics, grey situation decision-making theory and other related knowledge and methods. First, it studies a collaboration oriented web service composition QoS indicator system. On that basis, it extracts key QoS indicators of web service composition from customers’feedback. Then, it studies the web service composition marketing decision models based on the key QoS indicators. At last, it puts forward a multilateral collaboration oriented web service composition optimization management method. The main contributions of this thesis are as follows:(1) It builds a qualified web service composition QoS indicator system. Starting from the customer preference, it mines deeply the SQoS indicators from the web service composition providers’view and the CQoS indicators from customers’ view, puts forward a CQoS and SQoS indicators mapping mechanism, builds a collaboration oriented QoS indicator system, studies the evaluation model of the QoS indicator system and proposes the method for determining the QoS indicators’ weights based on the analysis of network customer behaviors. The QoS indicator system effectively unifies the SQoS indicators and CQoS indicators, realizes the integrity and interaction of the indicator system designing.(2) It extracts key QoS indicators of web service composition from customers’ feedback. It collects customers’feedback information and uses statistics tools to turn those into data, then extracts the key QoS indicators (the price of web service composition, the total service satisfactory, the service description consistency, the service expense valuation, the response time, success rate and service avalability) of web service composition to build a key QoS indicator of web service composition based on customers’feedback. The key QoS indicator of web service composition underlies the multilateral collaboration oriented web service composition marketing decision and optimization management.(3) It builds the web service composition marketing decision models based on the key QoS indicators. In light of the customers’ needs and preferences for services’ functions, it puts forward several web service composition marketing decision models such as the optimized investment composition model for the WSI, the WSI pricing strategy model in duopoly market and the ISVs selection model. It also provides the theoretical basis for the WSI marketing decision and selection. By building the optimized investment composition model for the WSI, the web service composition is enhanced, the customers’individual web services are provided collaboratively and the WSI profit is maximized. By building the pricing strategy model in duopoly market, it provides references for establishing the duopoly WSI pricing strategy model in symmetry and asymmetry monopoly market. By building the ISVs selection model, it solves the problem of reasonably selecting the ISV of similar or different functions to gain more profits.(4) It puts forward a multilateral collaboration oriented web service composition optimization management method. It applies the Value Net Theory in the web service composition collaboration management, and studies the multilateral collaboration oriented management between web service composition and web services, online services and offline services, and web service composition in the value net. Applying this method, WSI which is oriented by the optimized investment composition model, the pricing strategy model in duopoly market and the ISVs selection model is interacted among the external ISV, collaborators and customers by the ongoing feedback. And it gradually forms a dynamic balance between the web service composition and web services, and between the online services and offline services. It makes web service composition dynamically evolved and optimized, maximizes the value of the web service composition chain and integrates the modern service industry and information industry.