High-dimensional service data oriented hybrid visualization method

A technology of service data and service combination, which is applied in the field of hybrid visualization for high-dimensional service data, can solve problems such as data distortion and complex display effects, and achieve the effect of reducing crossover and coverage

CN103268327AActive Publication Date: 2013-08-28中沪信息科技(江苏)有限公司
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
Publication Date
2013-08-28

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Abstract

The invention discloses a high-dimensional service data oriented hybrid visualization method. The method includes inspecting service combinations at the WSDL (web services description language)and BPEL (business process execution language) language level, parsing information provided by the WSDL and BPEL files, defining that a service set (S1, S2,..., Sn) of a service combination SC includes a plurality of services S, reducing dimensions of multi-dimensional spaces with more than three dimensions in the service set (S1, S2,..., Sn) of the service combinations SC by the aid of a tree structure, taking a service instance Si as a single event corresponding to a certain variable on a time axis, representing the service instance Si of the service sets (S1, S2,..., Sn) by a series of parallel coordinate axes, representing interrelationship between services with an improved parallel coordination view, and performing visualization on internal service data and associated information between the services by a dot matrix which includes node-link graphs and matrixes.
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Description

technical field

[0001] The invention relates to a hybrid visualization method for high-dimensional service data Background technique

[0002] With the rapid development and wide application of the Internet platform, the effective utilization of data resources on the Internet has become a major demand of the information society, which has led to the continuous acceleration of the process of computing services. As a technical component of a modern distributed collaborative computing system, "service" supports the on-demand evolution and dynamic reorganization of computing systems through Service-Oriented Architecture (SOA), service computing models and their implementation technologies. In recent years, research related to service computing has emerged in an endless stream, and service composition has always been one of the hot spots in service computing research. Abstract and encapsulate data through services, use service composition to dynamically organize and aggregate ric...

Examples

Embodiment 1

[0046] Step 1: Investigate service composition from the language level of WSDL (Web Services Description Language) and BPEL (Business Process Execution Language), and analyze the information provided by WSDL and BPEL documents.

[0047] 1.1. According to the WSDL Schema, the web service is abstracted into a two-tuple s=(n, P), where n is the name of the service (that is, the service name registered in UDDI (Universal Description Discovery and Integration)), P is the operation set of the service. Operation is the basic functional entity of Web service, and Web service composition is finally reflected in the composition of inter-service operations. An operation can be expressed as a two-tuple P=(I,O), where I represents the set of input objects received by the operation, and O is the set of output objects generated by the operation.

[0048] 1.2. The CPU reads the basic information of the WSDL file of the service resource library in the scene, extracts the service name n,...

Embodiment 2

[0091] refer to Figure 7 and Figure 8 , and the rest are the same as in Embodiment 1, except that in the application occasion, Embodiment 1 visualizes the service data of the entire service resource library. In Embodiment 2, from the perspective of a single service, the service data generated by all the service combinations in which the service participates is mixed and visualized.

[0092] Figure 7 shows all calls to service s 4 (red node) service composition path, which contains {S 19 —S 20 —S 9 —S 7 —S 4 —S 6 } (S 4 in the fifth dimension), {S 1 —S 4 } (S 4 in the second dimension), {S 2 —S 4 } (S 4 in the second dimension), {S 7 —S 4 —S 6 —S 17 } (S 4 in the second dimension), {S 20 —S 9 —S 7 —S 4 —S 6 } (S 4 in the fourth dimension). Figure 8 Correspondingly, the specific data details of these services are given through the dot matrix.