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Flexible service finding method based on quality of service (QoS)

A flexible, service request technology

Inactive Publication Date: 2013-05-08
WUXI NANLIGONG TECH DEV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the need for manual intervention, this design is not suitable for B2B applications when dealing with subjective QoS requirements.

Method used

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  • Flexible service finding method based on quality of service (QoS)
  • Flexible service finding method based on quality of service (QoS)
  • Flexible service finding method based on quality of service (QoS)

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Embodiment Construction

[0021] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0022] Such as figure 1 , the QoS-based flexible service search method of the present invention adds a Cache multi-level cache to the service search model. When a client requests a service, it first sends the service request to the corresponding Cache, and the service request includes client information, service functional requirements, non-functional requirements (QoS) and other requirements. After receiving the service request from the client, Cache first searches for a service that meets the functional requirements among all the services that have been called by this group of clients stored by itself according to the service functional requirements. When a service that meets the client's requirements is found in the Cache, it is called a Cache hit; when the required service cannot be found in the Cache, it is called a Cache miss.

[0023] Such as figur...

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Abstract

The invention relates to a flexible service finding method based on quality of service (QoS). In order to improve finding speed of service, a multistage buffer memory structure among clients and a registration center is built, Cache conducts grouping for the clients, each group of the clients corresponds to one Cache, service call information and service information are stored in the clients, the Cache is a surrogate of service requests of the clients and also a performer of service finding based on restraining of client QoS, and when the clients conduct service request, a user can not access the registration center every time. In order to improve precision of service finding, a QoS negotiation mechanism which is driven by the user is adopted, service quality is considered mainly from service price, average response time, reliability and creditworthiness, a method of service quality property quantization is adopted, four QoS index metric of the service price, the average response time, the reliability and the creditworthiness is normalized to non-negative value, and the higher the numerical value is, the higher the service quality is.

Description

technical field [0001] The invention relates to a method for efficiently searching for the most suitable service in an SOA framework system, in particular to a QoS-based flexible service searching method. Background technique [0002] QoS is mainly related to the bandwidth resources that network access points can provide, and there is a basic requirement for bandwidth resource allocation, which can be adjusted dynamically, so QoS is proposed to be flexible. In order to enable users to select the best service that meets the QoS requirements from these services with similar functions, we have introduced the QoS information library in the service-oriented system, the infrastructure of service search based on QoS, to meet the user's requirements for service quality when searching for services. The QoS information base records four QoS indicators of the service: price, average response time, reliability, and reputation. During the operation of the system, relevant services will ...

Claims

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Application Information

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IPC IPC(8): H04L29/06G06F12/08G06F12/0811
Inventor 李千目李嘉
Owner WUXI NANLIGONG TECH DEV
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