A Cloud-Enhanced System Architecture for Logistics Tracking Services

Abstract

With the fast development of logistics industry, logistic tracking services has drawn more and more attention around the world. However, conventional logistics systems are difficult to provide efficient and whole-ranged logistic tracking services for customers. In this paper, we design and implement a cloud computing supported logistics tracking information management system to support whole-ranged and real-time logistics tracking services. The proposed solution is based on technologies related to cloud computing and a few Internet of Things technologies such as two-dimensional code scanning and identification, GPS location and image recognition. The main technical issues in our proposed system model include security management, logistics vehicle management, user management and location information management. Through the implementation and evaluation, we show the feasibility and efficiency of our proposed solution.

Big data analytics for logistics and transportation

“…The results served for publics, police officers, firemen, urban planners, etc. The goal of this project is to build a system that combine internet of things, SaaS cloud architecture and big data analytics technologies for setting-up an efficient real-time monitoring of customers cargoes [16].…”

“…10. The cloud computing structure of cloud-enhanced system architecture for logistics tracking services [16], p. 547.…”

A Study on Intelligent User-Centric Logistics Service Model Using Ontology

“…Presently, it is anticipated that the services using smartphones will have a very wide range and diversity of applicable service domains [5] and will also benefit many applications [25]. However, most studies [26][27][28] are being concentrated in the tracking of logistics/delivery based on simple position information using GPS and optimization of routes, and there is a lack of studies on the models that can apply various types of sensing information communicated from RFID/USN of the logistics/delivery environment. Thus, there is a need for the studies on smart logistics/delivery service model that can provide the optimum logistics/delivery service according to user-based situation information arising in real time in the actual logistics delivery environment.…”