A Mobile Service Portfolio Selection Method Considering Timing Constraints

Abstract

The invention discloses a mobile service combination selection method considering timing constraints, comprising the following steps: collecting real-time information of mobile service providers; establishing a probabilistic mobile model of the service provider according to the information provided by the service provider; establishing a service provider according to user needs Combined quality constraints and timing constraints model; based on the multi-constraint optimization method of the differential evolution method for combination optimization, the selection strategy of service combination is obtained, and the mobile service combination selection method considering timing constraints is provided. Information, establish a probabilistic mobile model for mobile service providers, and then use the multi-constraint optimization algorithm based on differential evolution to optimize the combination according to the quality and timing constraints of the service combination provided by the user, and obtain a mobile service combination with a higher execution success rate ; Thereby overcoming the problem that the combination of services in the traditional Internet cannot be directly applied to the mobile environment.

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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