Abstract: System architecture is the design and blueprint of information system. System architecture simulation can estimate in advance whether the built system can meet the design expectation, but the current mainstream architecture simulation method lacks the means to accurately predict the service performance attribute in the early stage of the system life cycle. Aiming at this problem, this paper takes information service performance modeling as the research goal. Firstly, it classifies information service at three levels according to its functions, and provides the factors that define and influence the performance attributes of each type of information service. Furthermore, an information service performance modeling method based on Laguerre forward neural network is proposed, and the advantages and reasons of Laguerre forward neural network are analysised. Finally, taking information retrieval service as an example, six factors affecting the number of machine cycles required for the execution of information retrieval service are proposed. Ablation experiments and comparative experiments are used to verify the feasibility of the information service performance modeling method proposed in this paper. 

Key words: performance modeling, information service, architecture simulation, Laguerre forward neural network