A network service evaluation and optimization method under uncertain network environments

Abstract

An evaluating and optimizing method for network service in an uncertain environment belongs to the application technology field of network service and is characterized in that a network service describing document is set at a server end and a generator of testing example produces a testing example collecting group according to the network service describing document while a candidate serving finder provides a candidate service group according to the network service describing document; according to the example collecting group and the candidate service group, a credibility testing module applies the credibility testing algorithm based on the traditional vague C means algorithm to produce a credibility testing matrix of the candidate service group and an outputting group of expected standard, on the basis that the credibility of the candidate service that can meet the needs of users can be obtained. The invention takes the uncertainty of outputting results of net service into fully consideration, and makes quantitative and qualitative analysis of the credibility of network service and evaluates and optimizes the ideal net service according to the credibility index.

Description

Network Service Evaluation and Optimization Method in Uncertain Network Environment technical field The invention belongs to the field of network service and its application, and aims to provide people with a method for evaluating and optimizing a large number of network services with the same or similar functions and service quality in an uncertain network environment. Background technique In the network environment, network services have great uncertainty. Users cannot accurately judge whether the network service can fully meet their functional and non-functional (that is, service quality) requirements before invoking it. Different from the meaning of reliability, the credibility of a network service reflects the user's trust in the network service to meet its functional and non-functional requirements. Network services with low reliability may bring unpredictable and even serious consequences to enterprise application systems. Therefore, the credibility of network ser...

AI Technical Summary

Problems solved by technology

But they did not give the algorithm description and calculation method of the fuzzy control relationship

Images