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A Cloud Model for Internet of Things on Logistic Supply Chain

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Cooperative Design, Visualization, and Engineering (CDVE 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9320))

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Abstract

In this paper we propose a cloud model of internet of things for logistic supply chains. In the cloud model, the cloud terminals can collect, receive and deliver information by integration of mobile networks, wireless networks, networks of sensors, including data, video and audio information. The data and information are classified and dealt with in the cloud service platform where the communication cluster servers, application servers, middleware servers and database servers are located. In this model the cluster service, resource dispatch and load balance are cooperative for every application group in the cloud in order to serve for the management and monitoring during the logistic supply chain lifecycle. In order to support high performance of cloud service, NIO (Non-blocking Input/Output) and RMI (Remote Method Invocation) are applied for the resource cooperative dispatch.

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Acknowledgments

The researcher is supported by the national 863 program in Ministry of Science and Technology of the People’s Republic of China. Project number: 2013AA040302.

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Authors and Affiliations

  1. The Computer Science and Technology Department, Tongji University, Shanghai, 201804, China

    Guofeng Qin, Lisheng Wang & Qiyan Li

Authors
  1. Guofeng Qin
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  2. Lisheng Wang
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  3. Qiyan Li
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Corresponding author

Correspondence to Guofeng Qin .

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Editors and Affiliations

  1. University of Balearic Islands, Palma de Mallorca, Spain

    Yuhua Luo

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Qin, G., Wang, L., Li, Q. (2015). A Cloud Model for Internet of Things on Logistic Supply Chain. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2015. Lecture Notes in Computer Science(), vol 9320. Springer, Cham. https://doi.org/10.1007/978-3-319-24132-6_12

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  • DOI: https://doi.org/10.1007/978-3-319-24132-6_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24131-9

  • Online ISBN: 978-3-319-24132-6

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