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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References
China Internet Network Information Center, http://www.cnnic.net.cn/
Facebook, http://baike.soso.com/v214498.htm
Chang, F., Dean, J., Ghemawat, S.: Bigtable: A distributed storage system for structured data. J. ACM Transactions on Computer Systems (TOCS) 26(2), 4 (2008)
George, L.: The hbase definition guide. O’Reilly Media, Inc. (2011)
PNUTS system, http://en.wikipedia.org/wiki/Pnuts
Lakshman, A., Malik, P.: Cassandra: a decentralized structured storage system. J. ACM SIGOPS Operating Systems Review 44(2), 35–40 (2010)
Lakshman, A., Malik, P.: Cassandra: structured storage system on a p2p network (2009)
Dong, L., Kang, C., Yunfei, C.: Research on the Reliable Replica Creation Technique Based on Virtual Ring Strategy. Proceedings of the World Congress on Engineering 2 (2013)
Crowley, C., Wolf, R.: Impact of the Neutral Wind Dynamo on the Development of the Region 2 Dynamo. J. Midlatitude Ionospheric Dynamics and Disturbances, 181–179 (2013)
Hu, L., Duan, J.: The Comparison of Two Kinds of Range Partitioning Method of Port Economic Hinterland: An Approach to Realize Two-type Development of Port Areas. J. Systems Engineering 2, 006 (2013)
Wang, S., Harvey, C.: Fracture Mode Partition Theory for One Dimensional Fractures. ECF18, Dresden 2010 (2012)
Nishimura, S., Das, S., Agrawal, D., Abbadi, A.: MD-HBase: design and implementation of an elastic data infrastructure for cloud-scale location services. J. Distributed and Parallel Databases 31, 289–319 (2013)
Yun, R., Jin, H.: Wavelength Division Multiplexing Subnet Partition Based on Clustering Algorithm in Multidimensional Space. J. Acta Optica Sinica 2, 004 (2013)
Celko, J.: Joe Celko’s Complete Guide to NoSQL: What Every SQL Professional Needs to Know about Non-Relational Databases. Newnes (2013)
Jiakui, Z., Pingfei, Z., Lianghuai, Y.: Effective Data Localization Using Consistent Hashing in Cloud Time-Series Databases. J. Applied Mechanics and Materials 357, 2246–2251 (2013)
Lee, B., Jeong, Y., Song, H.: A scalable and highly available network management architecture on consistent hashing. In: Global Telecommunications Conference (GLOBECOM 2010), pp. 1–6 (2010)
Loesing, S., Hentschel, M., Kraska, T.: Stormy: an elastic and highly available streaming service in the cloud. In: Proceedings of the 2012 Joint EDBT/ICDT Workshops, pp. 55–60 (2012)
Jinbao, W., Sai, W., Hong, G.: Indexing multi-dimensional data in a cloud system. In: Proceedings of the 2010 ACM SIGMOD International Conference on Management of Data, pp. 591–602 (2010)
Garefalakis, P., Papadopoulos, P., Manousakis, I., Magoutis, K.: Strengthening consistency in the cassandra distributed key-value store. In: Dowling, J., Taïani, F. (eds.) DAIS 2013. LNCS, vol. 7891, pp. 193–198. Springer, Heidelberg (2013)
Raindel, S., Birk, Y.: Replicate and Bundle (RnB)–A Mechanism for Relieving Bottlenecks in Data Centers. In: Parallel Distributed Processing (IPDPS), pp. 601–610. IEEE (2013)
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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
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