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    Abstract:

    The exploding of information in data warehouses makes a great challenge to data warehouse research. How to increase query efficiency across web data warehouse plays an important role in data warehouse research. After analysis of several data warehouse implementation, a kind of hierarchy architecture of the web data warehouses is proposed, and an asynchronous iteration approach for query processing on web data warehouses is presented based on the hierarchy architecture of web data warehouse. In the asynchronous iteraion approach,the pipe;ining paralle processing technique is exp1oited.During of the queries on web data warehouses,all the nodes in difference layers of web data warehouse are executed in pipelining paralle manner so that the performance of the query processing is tremen dously inmproved.The theoretical analysis shows that the asynchronous iteration approach is very efficiently for the query processing on web data warehouses.

    Reference
    [1] Geffner, S., Agrawal, D., Abbadi, A.E. The dynamic data cube. In: Zaniolo, C., Lockemann, P.C., Scholl, M.H., et al., eds. Proceedings of the 7th International Conference on Extending Database Technology. Konstanz: Springer-Verlag, 2000. 237~253.
    [2] Li, Jian-zhong, Rotem, D., Srivastava, J. Aggregation algorithms for very large compressed data warehouses. In: Atkinson, M.P., Orlowska, M.E., Valduriez, P., et al., eds. Proceedings of the 25th International Conference on the Very Large Data Bases. Edinburgh: Morgan Kaufmann Publishers, Inc., 1999. 662~673.
    [3] Chan, C.Y., Ioannidis, Y.E. Hierarchical cubes for range-sum queries. In: Atkinson, M.P., Orlowska, M.E., Valduriez, P., et al., eds. Proceedings of the 25th International Conference on the Very Large Data Bases. Edinburgh: Morgan Kaufmann Publishers, Inc., 1999. 675~686.
    [4] Lee, S.Y., Ling, T.W., Li, Hua-gang. Hierarchical compact cube for range-max queries. In: Abbadi, A.E., Brodie, M.L., Chakravarthy, S., et al., eds. Proceedings of the 26th International Conference on the Very Large Data Bases. Cairo: Morgan Kaufmann Publishers, Inc., 2000. 232~241.
    [5] Labrinidis, A. Roussopoulos, N. WebView materialization. In: Chen, Wei-dong, Naughton, J.F., Bernstein, P.A., eds. Proceedings of the ACM SIGMOD 2000. Dallas: ACM Press, 2000. 367~378.
    [6] Mistry, H., Roy, P., Sudarshan, S., et al. Materialized view selection and maintenance using multi-query optimization. In: Aref, W. G. ed. Proceedings of the ACM SIGMOD 2001. Santa Barbara, CA: ACM Press, 2001. 307~318.
    [7] Shukla, A., Deshpande, P., Naughton, J.F. Materialized view selection for multidimensional datasets. In: Gupta, A., Shmueli, O., Widom, J., eds. Proceedings of the 24th International Conference on the Very Large Data Bases. New York: Morgan Kaufmann Publishers, Inc., 1998. 488~499.
    [8] Gupta, N., Haritsa, J.R., Ramanath, M. Distributed query processing on the web. http://dsl.serc.iisc.ernet.in/pub/TR/TR-9901.ps.
    [9] Papakonstantinou, Y., Vassalos, V. Query rewriting for semistructured data. In: Delis, A., Faloutsos, C., Ghandeharizadeh, S., eds. Proceedings of the ACM SIGMOD'99. Philadephia, Pennsylvania: ACM Press, 1999. 455~466.
    [10] Roth, M.T., Schwarz, R. Don't scrap it, wrap it! A wrapper architecture for legacy data sources. In: Jarke, M., Carey, M.J., Dittrich, K.R., et al., eds. Proceedings of the 23rd International Conference on the Very Large Data Bases. Athens: Morgan Kaufmann Publishers, Inc., 1997. 266~275.
    [11] Laura M., Kossmann, H.D., Wimmers, E.L., et al. Optimizing queries across diverse data sources. In: Jarke, M., Carey, M.J., Dittrich, K.R., et al., eds. Proceedings of the 23rd International Conference on the Very Large Data Bases. Athens: Morgan Kaufmann Publishers, Inc., 1997. 276~285.
    [12] Bouganim, L., Chan-Sine-Ying, T., Dang-Ngoc, Tuyet-Tram, et al. MIROWeb: integrating multiple data sources through semistructured data types. In: Atkinson, M.P., Orlowska, M.E., Valduriez, P., et al., eds. Proceedings of the 25th International Conference on the Very Large Data Bases. Edinburgh: Morgan Kaufmann Publishers, Inc., 1999. 750~753.
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何震瀛,李建中,高宏. Web数据仓库的异步迭代查询处理方法.软件学报,2002,13(2):214-218

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  • Received:April 20,2001
  • Revised:November 30,2001
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