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Cost-performance-driven Mashup construction method

A construction method and cost-effective technology, applied in the field of software optimization, can solve problems such as the inability to achieve optimization, the selection of optimal services, the difficulty of Mashup construction, etc., to achieve the effect of improving cost-effectiveness

Inactive Publication Date: 2016-05-11
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The QoS of the service will be affected by the Mashup deployment platform. Therefore, under the condition of uncertain deployment platform, it is impossible to select the optimal service, and the optimal deployment platform should be selected according to the selected service.
Therefore, the cost-effective-driven mashup construction problem is a very difficult problem
The optimization cannot be achieved by using existing algorithms

Method used

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Embodiment Construction

[0031] In order to describe the present invention more specifically, the technical solutions of the present invention will be described in detail below in conjunction with specific embodiments.

[0032] Existing algorithms cannot achieve the optimization of mashup structure. After research, it is found that the main reason is that the existing research ignores the correlation between service price and QoS. The correlation between service price and QoS has a great influence on the cost performance of mashup. The price correlation of services exists widely in reality. For example, if two services of a service provider are selected at the same time, the second service may give a discount on the price; the QoS correlation also exists widely in reality. If continuous When calling two services on the same server, since the parameter transfer between the two services can be performed inside the server, the response time of Mashup can be greatly reduced. For this reason, the embodime...

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Abstract

The invention relates to the software optimization technology and especially relates to a cost-performance-driven Mashup construction method. The Mashup construction method comprises the following steps: S101) selecting an optimal Web service and cloud platform for each task in Mashup to be constructed by utilizing a GA4MC algorithm; S102) carrying out service combination on the Web services obtained in the step S101) to obtain the Mashup; and S103) deploying the Mashup obtained through construction to the cloud platform. Compared with the prior art, the technical scheme has the following advantages: 1) the provided cost-performance-driven Mashup construction method can construct the Mashup, the cost performance of which is optimal, from the aspect of cost performance; 2) the provided cost-performance-driven Mashup construction method takes price association relationship and response time association relationship into consideration to improve the cost performance of the Mashup; and 3) the provided cost-performance-driven Mashup construction method not only considers service selection, but also considers platform deployment of the Mashup, and the cost performance of the Mashup is further improved through selection of the deployment platform.

Description

technical field [0001] The invention relates to software optimization technology, in particular to a cost-effective-driven Mashup construction method. Background technique [0002] Mashup construction technology combines multiple Web services to construct a more complex and more functional Mashup to meet the complex functional requirements of users. The mashup construction process is divided into two parts: service selection and mashup deployment. Specifically, service selection is to select a specific service for each task in the process according to the existing workflow, and then combine the individual services selected by each task into a combined service. The purpose of service selection is to make each selected service Each service can complete the functional requirements of the corresponding task; Mashup deployment is to deploy the composite service to the cloud platform. [0003] With the increase of optional services on the network, the quality of service (QoS) of...

Claims

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Application Information

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IPC IPC(8): H04L29/08G06N3/12
CPCH04L67/10G06N3/126H04L67/51
Inventor 邓水光吴洪越吴朝晖李莹吴健尹建伟
Owner ZHEJIANG UNIV
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