Alliance relationship service combination selection system and method

A technology of service combination and selection system, applied in the field of alliance relationship service combination selection system, to achieve the effect of high selection efficiency, simplified optimization time, and simplified query
CN106209978AActive Publication Date: 2016-12-07ANHUI UNIVERSITY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
ANHUI UNIVERSITY
Publication Date
2016-12-07

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Abstract

The invention discloses an alliance relationship service combination selection system and method, and belongs to the field of computer services. The system comprises service basic particle layer modules: a service request input module, a resolver module, a service information and function index module and a function selection module; service business particle layer modules: a service finding module, a parameter setting module, an index module, a service information extraction processing module, a parameter and service information association module, a smart evolution algorithm optimizing module, and the like. The selection method comprises the following steps: generating a service alliance constraint relationship; performing redundancy elimination and equivalence partitioning on alliance relationship data; determining an alliance relationship among combination services according to a found dominance relation and an equivalent set, and solving a fitness value; and solving a problem by using a swarm intelligence optimization method. Through adoption of the alliance relationship service combination selection system and method, the efficiency in getting an optimal combination way is high, and the selection scheme is optimal.
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Description

technical field

[0001] The present invention relates to the field of computer services, and more specifically, relates to a combination selection system and selection method for alliance relationship services. Background technique

[0002] With the development of service computing technology, more and more resources are released and shared in the form of services, and are successfully applied to the actual production process. In the field of service computing, QoS-aware service composition has attracted much attention in recent years, and many QoS-aware service composition optimization methods have been proposed.

[0003] Gabrel et al. proposed a web service composition optimization algorithm based on dynamic programming. Heuristic algorithms are widely used in the research of QoS-aware service composition. B.Vasumathi proposed to use particle swarm optimization and its improved algorithm to solve the problem of service composition. To solve the problem of service composit...

Claims

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