Cloud-Based Spatial Information Service Architecture within LBS

Abstract

Location Based Services (LBS) have become a popular technology to retrieve information about the surroundings of a mobile user which results in ubiquitous demand of spatial information service with diverse needs of different types of users. The aim of this paper is to reveal the potential of cloud-based spatial information service architecture that plays an integral role in LBS design and practice. This paper analyzes the characteristics of the spatial information of cloud services, such as data access transparency, spatial analysis parallelization, service capabilities flexible, information services standardization, service aggregation visualization, re-development flexible. This paper provides a possible solution to overcome the LBS service issues. In this paper, the short review of LBS and Cloud computing are given first and then the possibility of LBS design with cloud computing are analyzed. At last, cloud-based spatial information service architecture is proposed.

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Xing, T. , Zhang, S. and Tao, L. (2014) Cloud-Based Spatial Information Service Architecture within LBS. Positioning, 5, 59-65. doi: 10.4236/pos.2014.53008.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] Li, D.R. and Shao, Z.F. (2001) The Discuss of New Era of Geographic Information. Science in China, 39, 579-587.
[2] Liu, Y., Guo, W. and Jiang, W.T. (2009) Research of Remote Sensing Service Based on Cloud Computing Mode. Application Research of Computers, 26, 3428-3431.
[3] Sabbour, A.A. (2007) WiGuide: Indoor System for LBS. German University in Cairo.
[4] Sadoun, B. and Al-Bayari, O. (2007) LBS and GIS Technology Combination and Applications. Proceedings of IEEE/ACS International Conference on Computer Systems and Applications (AICCSA 07), 13-16 May 2007, Amman, Jordan, 578-583.
[5] Wu, L. and Zhang, Y. (2002) The Integrated Framework on Distributed Multispatial Database System. Geography and Territorial Research, 18, 6-10.
[6] Zhou, S.P., Hu, M.S. and Fang, F. (2010) The Concept Model and Technologies of Seamless Spatial Data Center. Earth Science—Journal of China University of Geosciences, 35, 345-350.
[7] Wu, X.C. (2009) Data Center Integration Development Technology: The Next Generation GIS Architecture and Development Model. Earth Science—Journal of China University of Geosciences, 34, 540-546.
[8] Park, M.H., Kim, H.C. and Lee, S.J. (2013) Implementation Results and Service Examples of GPS-Tag for Indoor LBS and Message Service. Proceedings of 15th International Conference on Advanced Communication Technology (ICACT), Chiang Mai, 27-30 January 2013, 367-370.
[9] Deng, J., Zheng, X.Q. and Lv, L. (2011) A Method for Service Oriented WebGIS Construction by Integrating OpenSource GIS. 19th International Conference on Geoinformatics, Shanghai, 24-26 June 2011, 1-5
[10] Garbin, D.A. and Fisher J.L. (2010) Open Source for Enterprise Geographic Information Systems. IT Professional, 12, 38-45.

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