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Home Appliance Control and Monitoring System Model Based on Cloud Computing Technology

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Mobile, Ubiquitous, and Intelligent Computing

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 274))

Abstract

With the development of intelligent home appliance technology, real-time home appliance status information is now generated in large quantities. New technology is necessary in order to process the large amount of status information that is generated every day. An innovative technology that has recently been used to process large amounts of data is cloud computing. Therefore, in this paper, we propose a system model to control and monitor home appliances using home network and cloud computing technologies in a smart home environment. UPnP technology is used to extract status information from home appliances. Cloud computing technology analyzes and processes the information and also provides virtualization services to users. In the proposed method, the gateway collects and stores home appliance information using home network technologies and sends the information to the cloud server for storage and management.

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References

  1. Dean, J., Ghemawat, S.: Mapreduce: Simplified Data Processing on Large Clusters. In: 6th Symposium on Operating Systems Design and Implementation, OSDI 2004, pp. 137–150 (2004)

    Google Scholar 

  2. Dugeon, O., Mahdi, M., Bars, R., Carbou, R.: Extended UPnP Multimedia Content Delivery with an HTTP Proxy. In: Zeadally, S., Cerqueira, E., Curado, M., Leszczuk, M. (eds.) FMN 2010. LNCS, vol. 6157, pp. 87–99. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  3. Cui, Y., Kim, M., Lee, H.: Social Media Sharing System: Supporting Personalized Social Media Service Using UPnP Technology in Cloud Computing Environment. Information 15, 2043–2054 (2012)

    Google Scholar 

  4. Bregman, D.: Smart Home Intelligence – The eHome that Learns. International Journal of Smart Home 4(4), 35–46 (2010)

    MathSciNet  Google Scholar 

  5. Lin, H.T.: The Development of Control and Energy Usage Information Modules for Smart Homes. In: ICCAIS 2012, pp. 236–240 (2012)

    Google Scholar 

  6. Wei, Z., Qin, S., Jia, D., Yang, Y.: Research and Design of Cloud Architecture for Smart Home. In: ICSESS 2010, pp. 86–89 (2010)

    Google Scholar 

  7. Kim, J.E., Boulos, G., Yackovich, J., Barth, T., Beckel, C., Mosse, D.: Seamless Integration of Heterogeneous Devices and Access Control in Smart Homes. In: 2012 8th International Conference on Intelligent Environments, pp. 206–213 (2012)

    Google Scholar 

  8. Contributing members of UPnP Forum.: UPnP Device Architecture Version 1.1. In: UPnP Forum (2008)

    Google Scholar 

  9. Hammer-Lahav., E.: The OAuth 1.0 Protocol. Internet Engineering Task Force, RFC 5849 (2010)

    Google Scholar 

  10. Vora, M.N.: Hadoop-HBase for Large-Scale Data. In: 2011 International Conference on Computer Science and Network Technology, pp. 601–605 (2011)

    Google Scholar 

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Correspondence to Yun Cui .

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Cui, Y. et al. (2014). Home Appliance Control and Monitoring System Model Based on Cloud Computing Technology. In: Park, J., Adeli, H., Park, N., Woungang, I. (eds) Mobile, Ubiquitous, and Intelligent Computing. Lecture Notes in Electrical Engineering, vol 274. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40675-1_54

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  • DOI: https://doi.org/10.1007/978-3-642-40675-1_54

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40674-4

  • Online ISBN: 978-3-642-40675-1

  • eBook Packages: EngineeringEngineering (R0)

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