Lee et al., 2013 - Google Patents
Efficient and customizable data partitioning framework for distributed big RDF data processing in the cloudLee et al., 2013
View PDF- Document ID
- 7005512062066539467
- Author
- Lee K
- Liu L
- Tang Y
- Zhang Q
- Zhou Y
- Publication year
- Publication venue
- 2013 IEEE Sixth International Conference on Cloud Computing
External Links
Snippet
Big data business can leverage and benefit from the Clouds, the most optimized, shared, automated, and virtualized computing infrastructures. One of the important challenges in processing big data in the Clouds is how to effectively partition the big data to ensure …
- 238000000638 solvent extraction 0 title abstract description 85
Classifications
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- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30386—Retrieval requests
- G06F17/30424—Query processing
- G06F17/30477—Query execution
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- G06F9/00—Arrangements for programme control, e.g. control unit
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