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• W1508198097 abstract "Data warehouses usually rely on the underlying database management systems, and operations in warehouses require adequate global cache management for both base data and derived sets. However, a problem is how to ensure the cache balance between the query operations and the retrieved sets of query templates. In this paper, we describe an efficient global cache manager that caches both database pages and derived data. A benefit metric is developed to compare the expected effect of caching retrieved sets and buffering for query processing. On the basis of this model, algorithms are proposed to generate efficient cache allocation scheme for multiple queries. These algorithms can be combined with different replacement strategies. We designed a mixed workload, and made experiments to investigate the performances of the algorithms. The results indicate that our approaches are better than traditional LRU and LRU-K methods for multi-class workloads in data warehouses." @default.
• W1508198097 created "2016-06-24" @default.
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• W1508198097 date "1998-01-01" @default.
• W1508198097 modified "2023-09-27" @default.
• W1508198097 title "Global cache management for multi-class workloads in data warehouses" @default.
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• W1508198097 doi "https://doi.org/10.1007/bfb0054220" @default.
• W1508198097 hasPublicationYear "1998" @default.
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