Construction optimization of International Trade Information Service System Based on Big Data and Cloud Computing

Abstract

Cloud computing (CC) is the product of the development of Internet technology to a certain stage. Its appearance subverts the traditional information service mode and quickly becomes a hot topic in the field of modern computer science. CC is a computing mode and service mode that distributes computing and storage tasks to a cloud platform composed of a large number of cluster servers and storage devices. This paper aims to study the construction and optimization of international trade information service system based on big data (BD) and CC. Guided by the related theories of CC, BD and international trade information service, this paper constructs a universal model of BD international trade information service system based on CC platform on the basis of summarizing the existing enterprise information service system and the application status of CC. This model integrates ESB (Enterprise Service Bus) integration and international trade recommendation principle based on bipartite graph into information service, so as to realize the service performance of international trade. In addition, the technical system and security system of the model are analyzed in detail. According to the built system model, this paper also discusses the strategies, steps and contents of enterprises to build CC and provide personalized information services for BD. Finally, taking 800App system of 800-guest company as an example, this paper analyzes its CC architecture, function realization and operation mode in detail, and with reference to the model proposed in this paper, analyzes its shortcomings, and puts forward some suggestions to improve the system. The system model proposed in this paper, to a certain extent, makes up for the gap in the cross research of CC, enterprise BD and personalized information service, enriches the research contents in the field of CC and information service system, and has important reference value for guiding the application of CC technology and the development of information service system in enterprises.