System and method for generating alternative service set of composite service based on collaborative filtering

Abstract

The invention provides a system and method for generating an alternative service set of composite service based on collaborative filtering, belonging to the field of computers. The system comprises a use information sorting and mode unit and an alternative set and initial instance generation unit. The method comprises the following steps: A, judging; B, searching; C, forming modes; D, calculatingquality of service (QoS) information; E, inputting call parameters; F, establishing memory nodes; G, acquiring input data volume and call time; H, adding to a memory structure; I, matching, and returning to P if the QoS information exists and is continuous; J, incompletely belonging to given modes; K, searching the information, and returning to N if the information does not exist; L, setting the QoS to be minus 1; M, if the completely matched modes do not exist, predicting; N, if execution information does not exist, predicting the QoS; O, calculating the similarity; P, carrying out descending sort; Q, calculating the reliability; R, selecting the alternative service set; and S, forming a running instance. According to the invention, the predicted results are higher in pertinency and moreaccurate.

Description

technical field [0001] The invention belongs to the field of computers, specifically the technical field of design service computing, and in particular relates to a system and method for generating a combined service alternative service set based on collaborative filtering. Background technique [0002] Web service adopts a series of standards and protocols based on XML, which solves the problems of interconnection and integration of cross-organization and applications on heterogeneous platforms. With the continuous improvement of Web service application requirements, Web services that can provide value-added functions have been widely valued. Composite Web services are composed of Web services widely distributed on various host nodes in the Internet environment. Due to the lack of unified management and control of services, it is difficult to guarantee the overall function and quality of composite Web services. , the composite Web service cannot be stopped, and a series of...

AI Technical Summary

Problems solved by technology

[0006] (2) Even if non-functional requirements are considered, service selection is usually performed according to the QoS information released by the service provider. Due to the influence of factors such as different user needs, network environment, and server status, different users have different requirements for the same service quality at different calling times. There may be a big difference in the feeling of the service provider, so the QoS issued by the service provider cannot accurately describe the actual operation quality of the service

[0007] (3) For one call, only one instance is generated for each task. When a service call fails, it is not convenient to replace the service

[0008] At present, the prediction part of service QoS usually adopts the method of averaging historical information. This method does not consider the individual differences of users. Some methods based on collaborative filtering consider user differences to a certain extent. Existing collaborative filtering The user in the filtering method is a specific user, but even if the same user calls the service at different times, the QoS experienced by the same user is different. If the user uses a certain service multiple times, in the collaborative filtering method, the user uses the QoS value of the service It's hard to be sure, if the way of taking the average is still not accurate enough

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