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Based On Redis Storage E-commerce Logistics Time Forecast System Design And Implementation

Posted on:2017-04-19Degree:MasterType:Thesis
Country:ChinaCandidate:S X LengFull Text:PDF
GTID:2349330512955131Subject:Software engineering
Abstract/Summary:PDF Full Text Request
With the continuous development of e-commerce, more and more people adopt this new way of shopping online shopping, homes will be able to convenient choice out of the goods they need. As e-commerce site, to maintain their competitiveness, we must constantly improve their quality of service. Logistics as the goods delivered to buyers in the hands of ways from business, the most important information it provides single user to track goods location, but the moment the logistics site can only provide goods to the location and time of arrival, and very general delivery time description, and can not meet the needs of users. In such situation, to establish a service module which can predict the delivery time of goods based on computer technology can further improve the service quality of e-commerce and logistics.Centering on the prediction of logistics time of e-commerce websites based on Redis data store, this paper puts forward a reasonable solution. In system design, if the goods has delivered, the system can finally predicts the arrival time of the goods based on the information including the situation of logistics company, the starting place and weather, so as to supplement the delivery time prediction module that the existing logistics websites does not include.The designing scheme in the paper is based on Redis database. Compared with traditional relational database, Redis improves much in performance in the situation with high data concurrency and low demands in data synchronization. In goods transportation networks, when the throughput is large and the turnover information concurrency is high, applying Redis data base into goods information collection will sharply improve the performance of the system.
Keywords/Search Tags:Logistics time prediction, Logistics analog data acquisition, Redis
PDF Full Text Request
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