An Efficient Cloud Computing-Based Architecture for Freight System Application in China Railway

Authors:
Baopeng Zhang;Ning Zhang;Honghui Li;Feng Liu;Kai Miao
Affiliations:
Beijing JiaoTong University;Beijing JiaoTong University;Beijing JiaoTong University;Beijing JiaoTong University;Intel Corporation,
Venue:
CloudCom '09 Proceedings of the 1st International Conference on Cloud Computing
Year:
2009

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Abstract

Cloud computing is a new network computing paradigm of distributed application environment. It utilizes the computing resource and storage resource to dynamically provide on-demand service for users. The distribution and parallel characters of cloud computing can leverage the railway freight system. We implement a cloud computing-based architecture for freight system application, which explores the Tashi and Hadoop for virtual resource management and MapReduce-based search technology. We propose the semantic model and setup configuration parameter by experiment, and develop the prototype system for freight search and tracking.