Rearch On The Model And Methods Of Services Based On QoS

As an autonomous, open and platform-independent component of the network, Web Services will enable distributed applications with better reusability, flexibility and growth. Web Services are independent, modular applications that can be described, published, located and called via the Internet.The Quality of Service (QoS in short) is a main factor to determine whether users were satisfied with the service. Christian Gronroos in accordance with the basic theory of cognitive psychology presented the customer perceived service quality concept. He believes that the customer perceived service quality is customer expectations and actual perceived service performance comparison between, that is, when actual perceived service performance is greater than the expectations, customer perceived service quality is good, and vice versa. Gronroos also pointed out that the quality of service is composed of functional quality and technical quality. User is not only the service function of the demands, but also has a certain QoS expectations. Therefore the quality of service is not only a technical level, is also a psychological level, it is directly related to user satisfaction with services received. QoS will be an important factor to determine the service provider whether or not success; it will become an important selling point of service.How to provide distinguishable services, how to provide users with guaranteed quality of service, as well as how to provide users with satisfied services are important subjects in services computing? In accordance with Gronroos perceived service quality theory, satisfied service is not just a technical issue, it is a psychological problem. Therefore quality of service is directly about whether users are satisfied with the services or not. Although the existing service discovery, selection, composition, recommendation and proactive services technology also attaches great importance to study the quality of service, but still less than the following: First, the issue of service quality dimensions, and the other is the dimension of QoS studies depth, three dimensions in the QoS focused on the technical level of the factors to the neglect of psychological factors. In this paper, under the Gronroos Perceived Service Quality Model, we presented a service model, also studied three methods in the course of the service: Perceived Service Quality methods for Web Service, QoS-driven service composition simplification algorithm, personalization recommended method based on user interest. Main tasks are:1. A QoS-based Multi-Agent Collaborative Service Model.Existing services Model meet the needs of the user's functional requirements and have ignored the needs of the user's service quality. So presents a QoS-based Multi-Agent Collaborative Model for Services. In the model, the main highlights: personalized recommendations based on user interest, QoS matching and management Agent. They are centered on quality of service to ensure that users gain satisfied services. Also we focused on the semantics of the service functions matching.2. Presents a Perceived Service Quality methods for Web ServiceTraditional quality of service is calculated from a technical point of view, does not take the user's psychological factors. In this paper, we present a calculating method of perceived quality of service for Web service, referenced Gronroos Perceived Service Quality Model, so that QoS factors include psychological factors, and market economics factors. In QoS we take into account three factors: technology, service providers, and service requester's psychological factor. Main studied time, security, reliability, trust, and price dimensions. Among them, the time, safety and reliability of the decision are controlled by the network status; prices are the best way to reflect the market economy; and trust is with a strong psychology color and with subjectivity. And gives the calculate method of customer cognitive quality of service.3. This paper presents a QoS-driven service composition simplification algorithm.With the growing of user's demands, individual service can no longer meet user's complexity needs. Composing multiple services into a composed service, it can satisfy users with more complex services, as well as it provide the new business opportunities. It is complex for composed complex services in general. It is a key issue how to service with high QoS. These reflect user's satisfaction of services. Traditional composed services simple methods are good of time complexity, and are bad of quality of service. We studied the composte logic relationships and the composite data relationships. Composite logical relationship of services include: the serial logic, circle logic, selection logic, and the concurrency logic. These logical relationships Describes the logic semantics of composite service; service composite data relationships presents the necessary conditions for services composition, it describes the data semantics of composite service. QoS data relationship is an important data relationship in service composite data relationships. And we gave a QoS-driven services compositin simplification method.4. Presents personalized recommendation method based on user interests.Traditional recommended algorithm for the service with blindness, there is no response to the user's personality characteristics. Whether users like it or not, whether users are interested or not, services are advertised for every one. Its hit rate is low and with poor quality of service. Mizzaro believe that personalized service is that ,system collect and store the user's information, analysis these and gain the user's specific interests and needs, and then send the right message to every visitor at the right time. Personalization is mainly reflected in the system for different users with different modes of service delivery and automatic search the users most interested and needs services and recommended him. Personalized service is aimed at users interested in using a more targeted model of personalized service, resulting in the best list of service user needs. The realization of personalized service is based on the real relationship between services, the user preferences and other factors to select and recommend services. Therefore, the user interest model is the premise of the recommended services is the basis for personalized service, directly related to the quality of service.In short, this article constructed a service model based on the perceived service quality model, and studied Perceived Service Quality methods for Web Service, simplify services composition and personalized recommended approach. In this paper, perceived quality of service will be applied to Web Services, and exploring the quality of service issues in the process, has a certain theoretical and practical significance, but the study was only a start, we will study in-depth on this basis.