The Method And Implementation Of Service Supply And Demand Bilateral Pattern Matching And Combination

Service computing is the main form of software nowadays,and in the current environment of the Internet of Services,the requirements of users are massive and personalized.Everyone's needs are different,and the user's requirements are not just individual requirements but may be broken down into different sub-requirements.These sub-requirements are also yet to be met.Simultaneously,services are distributed on various platforms,with heterogeneous,decentralized,and specialized characteristics.Based on these requirements and service characteristics,if the supply and demand sides understand each other,the user's needs and requirements can be easily satisfied and easy to build.In most cases,however,the supply and demand sides are not aware of each other and,as a result of user needs and service resources,are not able to identify suitable service solutions.The sheer size of the service is so large that it is difficult to efficiently and quickly construct a service solution that is satisfactory to users.Therefore,how to build a suitable service solution for users in a massive number of services is an essential problem for supply and demand bilaterals nowadays.This paper addresses this problem by proposing a bilateral model and an even pair table,described in detail in the following three aspects.(1)The bilateral model and the concept of the matching matrix: the paper first analyzes the characteristics of supply and demand matching under the current Internet of services.It proposes a modular approach —requirement pattern and service pattern — is used to solve the matching problem.A target requirements pattern based on an intention tree is proposed for end users who find it difficult to express the requirements that computers can understand easily.This model allows the efficient construction of user requirements.To establish a link between the requirement pattern and service pattern so that different contexts can be compared,this paper The concept of the matching matrix is proposed,using situational information and matching to portray even pairs in detail,based on the user's situational information.We can easily find a well-matched service pattern that corresponds to the requirement pattern.(2)Research on the problem of matching bilateral patterns of services supply and demand: At present,research on the problem of matching supply and demand for services remains at the stage of service combination and service selection,and the overall research on the problem of matching supply and demand for services is insufficient.This paper proposes a system of problems and algorithms for bilateral pattern matching of service supply and demand to make the bilateral pattern matching problem into a system.Each value of each dimension of the problem system can be transformed into a complex matching problem.We use three types of algorithms to solve the problem of matching the bilateral pattern of supply and demand of services and prove the validity of the bilateral pattern and the matching matrix used in this paper.And we make innovations in the artificial swarm algorithm for the leading and observing stages.(3)Bilateral pattern matching tool for service supply and demand: To better solve the matching problem using the algorithm in this paper,the bilateral pattern matching tool is designed and developed in this paper.It covers the whole process from the construction of requirements to the generation of service solutions by users.