Abstract
Parallel and distributed database technology is critical for many application domains. This is especially true for conventional high-performance transaction systems, but also for novel and intensive data consuming applications like data warehousing, data mining, decision support, and e-commerce. Future database systems must support flexible and adaptive approaches for data allocation, load balancing, and parallel query processing, both at the DML level and at the transaction level.
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© 2000 Springer-Verlag Berlin Heidelberg
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Mitschang, B. (2000). Parallel and Distributed Databases and Applications. In: Bode, A., Ludwig, T., Karl, W., Wismüller, R. (eds) Euro-Par 2000 Parallel Processing. Euro-Par 2000. Lecture Notes in Computer Science, vol 1900. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44520-X_54
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DOI: https://doi.org/10.1007/3-540-44520-X_54
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