Parallelism degree computing method for optimizing data-intensive Web service combination

Abstract

The invention discloses a parallelism degree computing method for optimizing a data-intensive Web service combination. The parallelism degree computing method includes the steps that the specified total cost and the specified total consumed time which are input by a user are firstly obtained, and the service exercise price, response time and handling capacity information of a current basic service is obtained; then a parallelism degree desirable scope is obtained by obtained parameter information through a constituted computing formula of an upper parallelism degree limit value and a lower parallelism degree limit value; finally the parallelism degree value range is adjusted. By means of the parallelism degree computing method, under the big data background, under the condition that mass data are required to be processed by the combination service, parallelization execution is carried out on the Web service, and the data processing capacity and the service execution efficiency of the combination service are accordingly improved. In addition, based on the mode of the parallelization execution on the Web service, the parallelism degree of the Web service is determined to balance the relation between the handling capacity and the exercise price of the combination service, and the specific value of the handling capacity to the exercise price is maximized to achieve the aim of optimizing the combination service.

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data management techniques, and the sharp increase in data volume has made traditional data management methods no longer applicable.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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