Massive Data Query Optimization on Large Clusters

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Provided by: Binary Information Press
Topic: Data Management
Format: PDF
The growing demand for massive data processing and analysis applications has led both academia and industry to design lots of new types of highly scalable massive data-intensive computing platforms base on the large clusters in the cloud environment. How to get a fast query response time, especially to those ad hoc queries, is becoming very important in the large clusters environment. In this paper, the authors designed a series of algorithms for the query optimization. They designed an efficient massive data query and optimization mechanism SemanQuery.
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