Multiple query optimization for data analysis applications on clusters of SMPs

Henrique Andrade; Tahsin Kurc; Alan Sussman; Joel Saltz

doi:10.1109/CCGRID.2002.1017123

Multiple query optimization for data analysis applications on clusters of SMPs

Henrique Andrade
, Tahsin Kurc
, Alan Sussman
, Joel Saltz

Biomedical Informatics

University of Maryland, College Park

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

10 Scopus citations

Abstract

This paper is concerned with the efficient execution of multiple query workloads on a cluster of SMPs. We target applications that access and manipulate large scientific datasets. Queries in these applications involve user-defined processing operations and distributed data structures to hold intermediate and final results. Our goal is to implement system components to leverage previously computed query results and to effectively utilize processing power and aggregated I/O bandwidth on SMP nodes so that both single queries and multi-query batches can be efficiently executed.

Original language	English
Title of host publication	2nd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2002
DOIs	https://doi.org/10.1109/CCGRID.2002.1017123
State	Published - 2002
Event	2nd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2002 - Berlin, Germany Duration: May 21 2002 → May 24 2002

Publication series

Name	2nd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2002

Conference

Conference	2nd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2002
Country/Territory	Germany
City	Berlin
Period	05/21/02 → 05/24/02

Access to Document

10.1109/CCGRID.2002.1017123

Cite this

@inproceedings{3d67736f32ae4125b272c3dbc10039fe,

title = "Multiple query optimization for data analysis applications on clusters of SMPs",

abstract = "This paper is concerned with the efficient execution of multiple query workloads on a cluster of SMPs. We target applications that access and manipulate large scientific datasets. Queries in these applications involve user-defined processing operations and distributed data structures to hold intermediate and final results. Our goal is to implement system components to leverage previously computed query results and to effectively utilize processing power and aggregated I/O bandwidth on SMP nodes so that both single queries and multi-query batches can be efficiently executed.",

author = "Henrique Andrade and Tahsin Kurc and Alan Sussman and Joel Saltz",

year = "2002",

doi = "10.1109/CCGRID.2002.1017123",

language = "English",

isbn = "0769515827",

series = "2nd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2002",

booktitle = "2nd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2002",

note = "2nd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2002 ; Conference date: 21-05-2002 Through 24-05-2002",

}

Andrade, H, Kurc, T, Sussman, A & Saltz, J 2002, Multiple query optimization for data analysis applications on clusters of SMPs. in 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2002., 1540452, 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2002, 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2002, Berlin, Germany, 05/21/02. https://doi.org/10.1109/CCGRID.2002.1017123

Multiple query optimization for data analysis applications on clusters of SMPs. / Andrade, Henrique; Kurc, Tahsin; Sussman, Alan et al.
2nd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2002. 2002. 1540452 (2nd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2002).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Multiple query optimization for data analysis applications on clusters of SMPs

AU - Andrade, Henrique

AU - Kurc, Tahsin

AU - Sussman, Alan

AU - Saltz, Joel

PY - 2002

Y1 - 2002

N2 - This paper is concerned with the efficient execution of multiple query workloads on a cluster of SMPs. We target applications that access and manipulate large scientific datasets. Queries in these applications involve user-defined processing operations and distributed data structures to hold intermediate and final results. Our goal is to implement system components to leverage previously computed query results and to effectively utilize processing power and aggregated I/O bandwidth on SMP nodes so that both single queries and multi-query batches can be efficiently executed.

AB - This paper is concerned with the efficient execution of multiple query workloads on a cluster of SMPs. We target applications that access and manipulate large scientific datasets. Queries in these applications involve user-defined processing operations and distributed data structures to hold intermediate and final results. Our goal is to implement system components to leverage previously computed query results and to effectively utilize processing power and aggregated I/O bandwidth on SMP nodes so that both single queries and multi-query batches can be efficiently executed.

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U2 - 10.1109/CCGRID.2002.1017123

DO - 10.1109/CCGRID.2002.1017123

M3 - Conference contribution

AN - SCOPUS:84887967616

SN - 0769515827

SN - 9780769515823

T3 - 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2002

BT - 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2002

T2 - 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2002

Y2 - 21 May 2002 through 24 May 2002

ER -

Multiple query optimization for data analysis applications on clusters of SMPs

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