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A Taxonomy and Performance Model of Data Skew Effects ...
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由 CB Walton 著作被引用 301 次 — When a parallel join algorithm is applied to relations with intrinsic skew, the distribution of tuples between nodes is not a simple partition of the intrinsic ...
A Taxonomy and Performance Model of Data Skew Effects in ...
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由 CB Walton 著作1991被引用 301 次 — A Taxonomy and Performance Model of Data Skew Effects in Parallel Joins · PREVIOUS CHAPTER · NEXT CHAPTER.
A Taxonomy and Performance Model of Data Skew Effects in ...
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A taxonomy of skew effects is developed, and a new performance model is introduced that is used to compare the performance of two parallel join algorithms.
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Christopher B. Walton, Alfred G. Dale, Roy M. Jenevein: A Taxonomy and Performance Model of Data Skew Effects in Parallel Joins. VLDB 1991: 537-548.
A Taxonomy and Performance Model of Data Skew Effects ...
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Recent work on parallel joins and data skew has concentrated on algorithm design without considering the causes and chara.cteristics of data. skew itself.
A Classification of Skew Effects in Parallel Database Systems
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由 H Märtens 著作2001被引用 26 次 — C. B. Walton, A. G. Dale, R. M. Jenevein: A Taxonomy and Performance Model of Data Skew Effects in Parallel Joins. Proc. 17th VLDB Conf., Barcelona, 1991 ...
A Classification of Skew Effects in Parallel Database Systems
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由 H Märtens 著作被引用 26 次 — C. B. Walton, A. G. Dale, R. M. Jenevein: A Taxonomy and Performance Model of Data Skew Effects in. Parallel Joins. Proc. 17th VLDB Conf., Barcelona, 1991 ...
Taxonomy of data skew on Filter-Join example
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The barriers to parallel query execution are start-up time of parallel operations, interference and poor load balancing among the processors due to skewed ...
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Handling data skew in parallel joins in shared-nothing systems
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由 Y Xu 著作2008被引用 148 次 — C. B. Walton, A. G. Dale, and R. M. Jenevein. A taxonomy and performance model of data skew effects in parallel joins. In VLDB, pages 537--548, 1991. Digital ...
A New Framework for Join Product Skew
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由 V Kyritsis 著作2012被引用 3 次 — Different types of data skew can result in load imbalance in the context of parallel joins under the shared nothing architecture.
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