A vision for SPARQL multi-query optimization on MapReduce

Proceedings - International Conference on Data Engineering

Volumn , Issue , 2013, Pages 25-26

  Anyanwu, Kemafor ^a  

^a North Carolina State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LARGE-SCALE DATA ANALYSIS; MAP-REDUCE; MULTIQUERY OPTIMIZATION; QUERY REWRITINGS; RULE BASED; WORK-FLOWS;

ALGEBRA; BATCH DATA PROCESSING; MACHINERY; MODELS; OPTIMIZATION; TECHNICAL PRESENTATIONS;

QUERY PROCESSING;

EID: 84881455886     PISSN: 10844627     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDEW.2013.6547420     Document Type: Conference Paper

References (8)

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3. M. F. Husain, J. McGlothlin, M. M. Masud et al., "Heuristics-Based Query Processing for Large RDF Graphs Using Cloud Computing," TKDE, vol. 23, pp. 1312-1327, 2011.
4. P. Ravindra, H. Kim, and K. Anyanwu, "An Intermediate Algebra for Optimizing RDF Graph Pattern Matching on MapReduce," in Proc. ESWC, 2011, vol. 6644, pp. 46-61.
5. H. Kim, P. Ravindra, and K. Anyanwu, "From SPARQL to MapReduce: The Journey Using a Nested TripleGroup Algebra," Proc. VLDB, vol. 4, no. 12, 2011.
6. T. Nykiel, M. Potamias, C. Mishra et al., "MRShare: Sharing across Multiple Queries in MapReduce," Proc. VLDB, vol. 3, pp. 494-505, 2010.
7. W. Le, A. Kementsietsidis, S. Duan et al., "Scalable multi-query optimization for sparql," in ICDE, 2012, pp. 666-677.
8. H. Kim, P. Ravindra, and K. Anyanwu, "Scan-sharing for optimizing rdf graph pattern matching on mapreduce," in IEEE 5th International Conference on Cloud Computing (CLOUD), 2012, pp. 139-146.