Abstract
As the fast improvement of Internet, so do the data and information based on virtual identity. There are so many works on the data storage, whose main ideas are to store data in a distributed environment. And then a new issue is coming: how to decide the position of data efficiently. Because of the characteristics of the virtual identity data, they have their special pattern. In this paper, a partitioning model based on the virtual identity data is proposed. As an example, the Cassandra database is adopted to describe the model. The experiments are taken to test the feasibility of the model and the results show that the model can reduce the retrieval time efficiently.
This work was supported by NSFC (No.60933005, 91124002); 863 (No. 012505, 2011AA010702, 2012AA01A401, 2012AA01A402); 973 (No. 2013CB329601, 2013CB329602); 242 (No.2011A010); NSTM (No.2012BAH38B04, 2012BAH38B06).
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Deng, L., Han, W., Li, A., Quan, Y. (2014). The Research of Partitioning Model Based on Virtual Identity Data. In: Han, W., Huang, Z., Hu, C., Zhang, H., Guo, L. (eds) Web Technologies and Applications. APWeb 2014. Lecture Notes in Computer Science, vol 8710. Springer, Cham. https://doi.org/10.1007/978-3-319-11119-3_20
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DOI: https://doi.org/10.1007/978-3-319-11119-3_20
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11118-6
Online ISBN: 978-3-319-11119-3
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