ParaLite: Supporting collective queries in database system to parallelize user-defined executable

Proceedings - 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid 2012

Volumn , Issue , 2012, Pages 474-481

  Chen, Ting ^a   Taura, Kenjiro ^a  

^a UNIVERSITY OF TOKYO   (Japan)

Author keywords

Collective Query; Parallel database system; User Defined Executable

Indexed keywords

BIG DATUM; COLLECTIVE QUERY; COMMUNICATION COST; DATA FILTERING; DATA INTENSIVE; DATA PARALLEL; EXECUTABLES; MULTIPLE CLIENTS; OPTIMIZATION ALGORITHMS; PARALLEL DATABASE SYSTEMS; PARALLELIZATIONS; QUERY RESULTS; SQL QUERY; USER-DEFINED EXECUTABLE; WORK-FLOWS;

ALGORITHMS; DATA TRANSFER; GRID COMPUTING;

QUERY LANGUAGES;

EID: 84863688576     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCGrid.2012.74     Document Type: Conference Paper

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