A Parallelism Calculation Method for Optimizing Data-Intensive Web Service Composition

A technology for optimizing data and computing methods, applied in the field of web service optimization, can solve problems such as cost, and achieve the effect of optimizing combined services, improving service execution efficiency, and improving data processing capabilities

Active Publication Date: 2017-02-01
ZHEJIANG TOPCHEER INFORMATION TECH +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since the service needs to be executed in parallel, although this can reduce the response time, the user has to pay the corresponding cost for the parallel service copy. How much parallelism should be set to achieve the goal of maximally optimizing the combined service has become based on Service Composition Optimization Problem in Parallel Mode

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Embodiment Construction

[0029] The specific implementation of the parallel degree calculation method for optimizing data-intensive Web service combination provided by the present invention is mainly divided into 3 steps (such as figure 1 shown):

[0030] (1) Input the total cost and total time-consuming limit of the combined service specified by the user, and input the service execution price, response time and throughput of each basic service in the combined service process; (2) Be able to complete the established functional requirements specified by the user The Web service is deployed on the server, and the parallel structure is used to improve the execution efficiency of the combined service (such as figure 2 shown), improving the response time of the composite service. As the parallelism increases, the data processing capability is improved, and the execution price of the corresponding composite service will also increase. Therefore, based on the BROCS (Benefit Ratio of Composite Service) mode...

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Abstract

The invention discloses a parallel degree calculation method for optimizing data-intensive Web service combination. The present invention first obtains the total cost and total time-consuming specified by the user; obtains the service execution price, response time and throughput information of the current basic service. Secondly, the obtained parameter information is used to obtain the desirable range of parallelism through the formulas for calculating the upper limit and lower limit of parallelism. Finally, adjust the value range of the degree of parallelism. Under the background of big data, the method proposed by the present invention executes web services in parallel when the combined service needs to process massive data, so as to improve the data processing capability and service execution efficiency of the combined service. And, based on the parallel execution mode of Web services, the parallel degree of Web services is decided to balance the relationship between the throughput and execution price of composite services, and maximize their ratio to achieve the purpose of optimizing composite services.

Description

technical field [0001] The invention belongs to the field of Web service optimization, and in particular relates to a parallel degree calculation method for optimizing data-intensive Web service combinations. Background technique [0002] With the rapid development of social informatization, big data (Big Data) has brought great challenges to traditional data management techniques, and the sharp increase in data volume has made traditional data management methods no longer applicable. Due to the great success of Web service technology in functional encapsulation and integration, the academia and industry started to learn from Web service and service-oriented architecture to realize the development, operation and management of data-intensive applications. [0003] Composite services can be composed of multiple basic Web services through one or even multiple structures in serial structure, parallel structure, conditional selection structure and loop structure. For Web service...

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Application Information

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Patent Type & AuthorityPatents(China)
IPC IPC(8): H04L29/08G06F17/30
Inventor俞东进李畅杨威杨朔
OwnerZHEJIANG TOPCHEER INFORMATION TECH