Mobile service combination selection method considering temporal constraints

Abstract

The invention discloses a mobile service combination selection method considering temporal constraints. The method includes the following steps that real-time information of a mobile service provider is collected; according to the information provided by the service provider, a probability mobile model of the service provider is established; according to the user requirements, a service combination quality constraint and temporal constraint model is established; based on a multi-constraint optimization method of a differential evolution method, combination optimization is conducted, and a selection policy of service combinations is acquired. According to the mobile service combination selection method considering the temporal constraints, the service information of the mobile service provider is collected and counted, the probability mobile model for the mobile service provider is established, according to service combination quality and temporal constraints provided by users, combination optimization is conducted by the adoption of the multi-constraint optimization algorithm based on differential evolution, and the mobile service combinations with the higher execution success rate are acquired. Thus, the problem that only services in the traditional internet are combined, so that a method cannot be directly applied to a mobile environment is solved.

Description

technical field [0001] The invention relates to the problem of service combination selection under the mobile environment, in particular to a mobile service combination selection method considering timing constraints. Background technique [0002] In recent years, with the rapid development of mobile Internet and mobile terminals (smart phones, PDAs, tablet computers, etc.), Web services are no longer limited by the traditional network environment. They can provide services through mobile terminals, becoming more flexible and more efficient. complex. On the one hand, due to the numerous technical breakthroughs made by mobile terminals in recent years, the computing power and storage capacity of mobile devices have been greatly improved, and more tasks and functions can be completed by using mobile terminal devices. On the other hand, the development of wireless communication technology has improved the speed and stability of data transmission between mobile devices, and the...

AI Technical Summary

Problems solved by technology

Therefore, traditional service composition selection methods that do not consider service mobility characteristics and service composition timing constraints are difficult to obtain service composition results that ensure successful execution in a mobile environment.

Because they only choose the service quality of the service itself, without considering the uncertainty of the mobile service and the timing constraints within the service portfolio

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