Logistics Web service dynamic optimizing and combining method

Abstract

The invention provides a logistics Web service dynamic optimizing and combining method. The method comprises the steps of building, based on a user logistics demand, a logistics service process consisting of multiple logistics secondary tasks; determining a candidate logistics Web service according to a function demand of a current logistics secondary task, and determining a QoS attribute of the candidate logistics Web service and a quantity demand of the logistics secondary task on service resources; screening out logistics Web services meeting the quantity demand of the logistics secondary task on service resources; screening out logistics Web services meeting local QoS constrains corresponding to the logistics secondary task, so as to form available logistics Web services for the logistics secondary task; and evaluating QoS of the available logistics Web services for the logistics secondary task nodes, and selecting the logistics Web service with highest QoS evaluation value to execute the current logistics secondary task. Through adoption of the method, a logistics Web service optimized combination meeting global QoS demands of the user and guaranteeing service resources is built dynamically, rapidly and reliably.

Description

technical field [0001] The invention relates to the technical field of logistics Web services, in particular to a method for dynamically optimizing and combining logistics Web services. Background technique [0002] With the rapid development of information technology and modern logistics industry, fourth-party logistics has promoted the core driving force for the rapid and high-quality development of the logistics industry. The third-party logistics service provider can package the logistics business of the enterprise into a logistics Web service based on Web service, cloud computing and other technologies and register it on the fourth-party logistics service platform. The fourth-party logistics service system can The logistics web service provides users with one-stop fast integrated logistics services. [0003] The dynamic optimization combination of logistics Web services is based on fully analyzing the customer's logistics service needs and drawing on the successful log...

AI Technical Summary

Problems solved by technology

[0006] First, branching and delimiting or decomposition is usually used to combine various logistics web services, and generally only one optimal service combination solution can be obtained, which is better when solving small-scale logistics Web combination problems, while when logistics When the scale of web services is relatively large, the calculation time is relatively long, which cannot meet the real-time requirements of logistics web service combinations

[0007] Second, the objective functions and constraints used in this type of method must be linear. Therefore, it is necessary to convert nonlinear constraints into linear ones, which also limits the use of linear programming, integer programming and mixed integer programming to a certain extent. The Practicability of the Planning-Based Logistics Service Portfolio Approach

[0011] The logistics web service combination method based on this type of algorithm takes a long time to search, is easy to fall into local optimum and search stagnation, etc., and the selection of algorithm initialization parameters and pheromone update are all dependent on experience and intuition, and need to be combined with specific problems Make reasonable settings

[0012] (4) The above-mentioned logistics web service optimization combination methods are to construct a nearly optimal logistics web service combination scheme in the design phase, and directly execute the designed logistics web service combination scheme in the execution phase, which cannot be used for dynamic and real-time logistics Web service composition, due to the strong dynamics of the performance of logistics Web services and the number of available resources, it is easy to cause the failure of the well-designed logistics Web service composition scheme

Secondly, when the existing research methods optimize the combination of logistics Web services, they do not consider whether the candidate logistics Web service resources meet the resource quantity requirements of the logistics subtasks, which may easily cause the designed logistics Web service optimization combination scheme to fail to meet the needs of the logistics subtasks. The demand of the task on the service resources leads to the failure of the logistics Web composition

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