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
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Embodiment 1
[0080] Existing methods cannot achieve the optimization of composite services. After investigation and research, it is mainly because the existing research ignores the alliance relationship between service providers. The alliance relationship between service providers has a great influence on the QoS of composite services. big impact. Alliances between service providers exist widely in reality. For example, an American user purchased a men’s watch GS5732 on the Jingdong trading platform and chose the logistics service DHL. Since the logistics company has not established an alliance with the storage place, The user will pay an additional shipping fee of $33.09. If the user chooses the ePacket logistics service, since the logistics company has an alliance relationship with the storage place, the user will save transportation costs and effectively reduce the cost of combined services. To this end, the embodiment of the present invention provides a method for selecting a service c...
Embodiment 2
[0214] The technical solutions of the present invention will be clearly and completely described below through specific embodiments in conjunction with the accompanying drawings.
[0215] In the embodiment of the present invention, the service combination selection method QASCO with alliance relationship, such as Figure 9 shown, including:
[0216] Step S101: Perform preprocessing on the candidate service set for each task to generate a service alliance constraint relationship. And the corresponding information is stored in the service basic granular layer module and the service relation granular layer module.
[0217] Step S102: Perform redundancy elimination and equivalence class division on the alliance relationship data through the proposed relationship matrix conversion algorithm and relationship table redundancy elimination algorithm.
[0218] Step S103: using the improved swarm intelligence optimization algorithm to solve the service combination optimization problem ...
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