Abstract
Compression database techniques play an important role in the management of massive data in database. Based on an important feature of offline relations and the features of operations on these data, we propose a compression method of massive offline relations to improve the processing performance of these relations. Experiments show that our method is efficient.
Supported by the National Natural Science Foundation China under Grant No.60273082.
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References
Goldstein, J., Ramakrishnan, R., Shaft, U.: Squeezing the most out of relational database systems. In: Proc. of ICDE, p. 81 (2000)
Ng, W.K., Chinya, V.R.: Block-Oriented Compression Techni- ques for Large Statistical Databases. IEEE Transactions on Knowledge and Data Engineering 8 (Match-April 1997)
Roth, M.A., Van Horn, S.J.: Database compression. SIGMOD Record 22(3) (September 1993)
Westmann, T., Kossmann, D., et al.: The Implementation and performance of Compressed Database. SIGMOD Record 29(3) (September 2000)
Babu, S., Garofalakis, M., Rastogi, R.: SPARTAN: A Model Based Semantic Compression System for Massive Data Tables. In: ACM SIGMOD (May 2001)
Li, J., Rotem, D., Srivastava, J.: Aggregation algorithms for very large compressed data warehouses. In: Proc. of VLDB, pp. 651–662 (1999)
Ray, G., Harisa, J.R., Seshadri, S.: Database compression: A Performance Enhancement Tool. In: Proc. COMAD, Pune, India (December 1995)
O’Connell, S.J., Winterbottom, N.: Performing Joins without Decompression in Compressed Database System. SIGMOD Record 32(1) (March 2003)
Poess, M., Potapov, D.: Data compression in oracle. In: Proc. of 29th Conference of VLDB (2003)
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Luo, J., Li, J., Wang, H., Zhang, Y., Zhao, K. (2004). The Compression of Massive Offline Relations. In: Li, Q., Wang, G., Feng, L. (eds) Advances in Web-Age Information Management. WAIM 2004. Lecture Notes in Computer Science, vol 3129. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27772-9_65
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DOI: https://doi.org/10.1007/978-3-540-27772-9_65
Publisher Name: Springer, Berlin, Heidelberg
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