Agent-based manufacturing service discovery method for cloud manufacturing
Liang Guo1 & Shilong Wang2 & Ling Kang2 & Yang Cao2
Received: 18 October 2014 /Accepted: 26 April 2015 # Springer-Verlag London 2015
Abstract The development of new generation information technology has brought opportunities for industrial production model innovation. Especially, the cloud computing, Internet of
Things, and big data technology are widespread applied in industrial fields. Based on this tendency, a service-oriented networked manufacturing model called cloud manufacturing (CM) was proposed in 2010. In order to realize this manufacturing model, one of the key technologies is how to achieve the discovery of manufacturing service which has not found a suitable solution. In this paper, a manufacturing service discovery framework based on agent is provided. The architecture consists of two parts: one is that manufacturing task agent and manufacturing service agent based on the expansion of the object model, and the other one is task and service matching process knowledge base. Furthermore, a structural matching method is proposed to implement the static parameters matching of task agent and service agent, and a multi-agent system bid mechanism is built to accomplish the dynamic parameters matching of the two agents. A simulation environment based on JADE has been properly developed. The simulation shows that the discovery method can effectively achieve the manufacturing service discovery in CM environment, which provides technical support for the cloud manufacturing service platform development.
Keywords Cloudmanufacturing . Service discovery .
Multi-agent . JADE
SPMaW ServicePartMaxWidth * Liang Guo email@example.com 1 School of Mechatronic Engineering, Southwest Petroleum
University, Chengdu, Sichuan, China 2 Chongqing University, The State Key Laboratory of Mechanical
Transmission, Chongqing 400044, China
Int J Adv Manuf Technol
ED EndDate 1 Introduction
In recent years, new generation information technology has brought rapid development. Especially, the cloud computing (CC), Internet of Things (IoF), and big data technology are widespread applied in industrial fields. A new serviceoriented networked manufacturing model called cloud manufacturing (CM) was put forward based on this tendency . The CM is a new type of manufacturing model, which is based on cloud computing business model. The main characteristic of CM is that the various manufacturing resources are gathered into virtual resource pool by virtual technology, and the user can visit the resources or query them by the cloud platform.What's more, the CM is the development of previous manufacturing models [2–4], especially the development of manufacturing grid [2, 5, 6].
However, the CM is more open and dynamic than manufacturing grid, and facing many new problem need to research. A large number of model research and implementation technologies are proposed to assist the realization of CM recently. F. Tao et al. proposed a CC and IoT-based cloud manufacturing service system and its architecture . Xun
Xu analyzed the influence of the cloud technology to CM and proposed a sustainable manufacturing cloud-solution for rapid development of customized products . F. Tao et al. proposed a parallel method for service composition optimalselection in cloud manufacturing system. Shi-longWang studied the resources optimization strategy under mechanical processing environment . Huang B. et al. proposed a new chaos control optimal algorithm to solve the quality of service (QoS)-based service composition selection . Xiang F. proposed furtherly a service optimization model-based QoS and energy consumption and given a group leader algorithm to solve it . F. Tao et al. designed a five-layered structure resource intelligent perception and access system based on
IoT . Wang T et al. structured a manufacturing task semantic modeling to realize the unified description of manufacturing tasks .
The above researches are very valuable to promote the realization of CM, but one of the primary works is to set the relationship between demand and resource, so-called resource discovery, is not deep enough. Actually, establishing the resource recovery mechanism must be attached in a specific operation pattern of CM . The development trend of CM pattern research is oriented to the various stages of product life cycle, such as the cloud simulation platform (CSP) which is
Fig. 1 Cloud manufacturing operation principle
Int J Adv Manuf Technol developed by the Beijing University of Aeronautics and
Astronautics . This pattern of resource discovery mainly aims at computer software resources. Through the discovery of simulation software, it realizes the sharing of simulation software which is same as web service model. In addition, the process-oriented CM system development is mentioned particularly in the research of current CM development tendency , but it is not yet mature. The demand expression