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.
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References
Rajkumar, B., Chee, S.Y., Srikumar, V.: Market oriented cloud computing: Vision, hype, and reality for delivering IT services as computing utilities. In: The 10th IEEE International Conference on High Performance Computing and Communications, Dalian, China, September 25-27 (2008)
Dean, J., Ghemawat, S.: MapReduce: Simplified data processing on large clusters. In: Proceedings of Operating Systems Design and Implementation (OSDI), San Francisco, CA, pp. 137–150 (2004)
Zaharia, M., Borthakur, D., Sarma, J.S., Elmeleegy, K., Shenker, S., Stoica, I.: Job Scheduling for Multi-User MapReduce Clusters. Technical Report No. UCB/EECS-2009-55, University of California at Berkley, USA (April 30, 2009)
Yang, H.-c., Dasdan, A., Hsiao, R.-L., Parker, D.S.: Map-Reduce-Merge: Simplified Relational Data Processing on Large Clusters. In: The 26th ACM SIGMOD International Conference on Management of Data (SIGMOD 2007), Beijing, China, June 12-14 (2007)
Armbrust, M., Fox, A., Griffith, R., Joseph, A., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A., Stoica, I., Zaharia, M.: Above the Clouds: A Berkeley View of Cloud computing. Technical Report No. UCB/EECS-2009-28, University of California at Berkley, USA, February 10 (2009)
Amazon Elastic Compute Cloud, http://aws.amazon.com/ec2/
Ghemawat, S., Gobioff, H., Leung, S.-T.: The Google File System. In: The 19th ACM Symposium on Operating Systems Principles (SOSP 2003), Lake George, NY, USA, October 2003, pp. 29–43 (2003)
Hadoop (2006), http://lucene.apache.org/hadoop/
Kozuch, M.A., Ryan, M.P., Gass, R., Schlosser, S.W., O’Hallaron, D., Cipar, J., Krevat, E., López, J., Stroucken, M., Ganger, G.R.: Tashi: Location-aware Cluster Management. In: First Workshop on Automated Control for Data centers and Clouds (ACDC 2009), Barcelona, Spain (June 2009)
Google App Engine, http://code.google.com/appengine/
Salesforce Customer Relationships Management (CRM) system, http://www.saleforce.com/
Hadoop on Demand Documentation, http://hadoop.apache.org/core/docs/r0.17.2/hod.html
Microsoft Azure, http://www.microsoft.com/azure
IBM Blue Cloud, http://www.ibm.com/grid/
EMC Daoli, http://www.daoliproject.org/
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© 2009 Springer-Verlag Berlin Heidelberg
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Zhang, B., Zhang, N., Li, H., Liu, F., Miao, K. (2009). An Efficient Cloud Computing-Based Architecture for Freight System Application in China Railway. In: Jaatun, M.G., Zhao, G., Rong, C. (eds) Cloud Computing. CloudCom 2009. Lecture Notes in Computer Science, vol 5931. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10665-1_33
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DOI: https://doi.org/10.1007/978-3-642-10665-1_33
Publisher Name: Springer, Berlin, Heidelberg
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