Fuzzy control-based manufacturing service composition in graph database
by Ming Zhu; Guodong Fan; Aikui Tian; Lu Zhang
International Journal of Web Engineering and Technology (IJWET), Vol. 16, No. 3, 2021

Abstract: In recent years, the manufacturing industry is changing its way of production enabled by emerging technologies. Enterprises publish visualised resources as services on the cloud. To fulfil a complex manufacturing request, services can be composed together. However, how to compose proper services among a large number of services becomes a challenge. This paper presents a service composition graph model to deal with the challenge by using a graph database. Specifically, the service composition graph model is stored in the Neo4j graph database. Services and their inputs/outputs are stored as nodes in a directed bipartite graph that are connected with edges. The weights of edges are synthesised via a fuzzy control system according to the QoS of services. Possible compositions of services are calculated and pre-composed. When the manufacturing task arrives, an extended Dijkstra algorithm is used to find a solution. Experimental results show that the approach could return a solution satisfying both functional and QoS requirements within a short time.

Online publication date: Wed, 22-Dec-2021

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