Design And Implementation Of High Performance Intelligent Mall System Architecture

As the most important Internet application in the 21st century,online shopping not only greatly facilitates people’s daily consumption life,but also promotes the rapid development of online digital economy.However,with the rapid growth of the number of users,the carrying capacity of the online shopping system has been challenged unprecedentedly.The traditional architecture design is not enough to support the load pressure caused by a large number of concurrent accesses.How to use the high-performance architecture design scheme to improve the system’s request processing ability has become the core task of the online shopping system;At the same time,with the accumulation of data,how to use artificial intelligence technology to analyze the transaction big data of online shopping system and provide intelligent commodity sales prediction services for commodity manufacturers and marketing merchants has also become a new demand for the intelligent development of online shopping system.However,with the growth of users and the surge of data,it has brought unprecedented challenges to the carrying capacity of online shopping system.The traditional architecture design has been more and more unable to support the load demand of high concurrent and large number of users;At the same time,the surge of data also brings information overload to users,businesses and manufacturers.How to use artificial intelligence technology to analyze the transaction big data accumulated in the mall system,provide intelligent commodity sales prediction and recommendation services to commodity manufacturers,marketing merchants and consumer users,and reduce information overload is also a new demand for the intelligent development of the mall system.In view of the above situation,combined with the provincial science and technology development project "Big data business intelligence platform for electronic intelligent manufacturing industry",this paper studies the high-performance architecture design scheme and intelligent marketing data prediction algorithm of the intelligent mall system,and designs and implements a high-performance intelligent mall system.The main contents of this paper are as follows:(1)The system development requirements of intelligent mall are analyzed,including system architecture selection,system framework technology selection,system development language selection,sales prediction model selection,system function module design,database table structure design,cache database structure design,system distributed deployment design,system virtualization deployment design,system reverse agent design,etc.(2)Aiming at the architecture goal of high availability,high concurrency and high expansibility of the intelligent mall system,the micro service architecture design is used and the module development is carried out according to the business function.Service governance based on service registry;Dynamic configuration file management of services based on service configuration center;Mutual call between services based on remote service request;Load balancing,fusing,blocking and other strategies for calling between services based on traffic monitoring;Ensure the security of system services based on gateway center.(3)According to the analysis requirements of production data and transaction data of system commodities,xgboost algorithm is used to build commodity sales prediction model to realize the sales prediction analysis of electronic products assembled with different configurations.(4)The functional modules of the intelligent mall system are realized,including user login module,shopping cart module,order processing module,order processing module,user comment module,commodity sales prediction module and so on.(5)The performance test and business module function test of the intelligent mall system under the micro service architecture.