Abstract
Recently, location-based services (LBS) which utilizes in mobile computing environment has been increased. The examples are Foursquare, Facebook places, Google buzz, and etc. After LBS are proliferated, the demand of various services has increased, resulting in bigger and more complex spatial data. The increase in the volume of data due to increases in the number of queries from clients and spatial queries overload servers and cause delays in query processing time. Thus we are using a cloud computing environment to store big data to overcome limited data spatial storage in more efficient way. The characteristics of cloud computing is to store data via the Internet based common computer (e.g., icloud, dropbox, etc) instead of a personal computer.
Then, cloud computing can process efficiently not only a personal spatial query but also in a large number of common spatial query processes. In addition, cloud computing has the other advantage. The advantage is that suppose each client sets a different mobile OS (e.g., Android, Apple OS, Window Mobile (MS), or others); these systems can be compatible within cloud computing. The purpose of this paper is going to introduce the simple general overview of spatial data method via cloud computing and propose the Common Issue Cloud Computing (CICC) for a spatial query type. An experimental result is used to verify the efficacy of our CICC.
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Song, D., Park, K. (2014). CICC to Support Location Based Service in Cloud Computing. In: Jeong, YS., Park, YH., Hsu, CH., Park, J. (eds) Ubiquitous Information Technologies and Applications. Lecture Notes in Electrical Engineering, vol 280. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41671-2_13
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DOI: https://doi.org/10.1007/978-3-642-41671-2_13
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