Query optimization over a heterogeneously distributed scientific database

Helen Xiang

doi:10.1109/BigData.2013.6691689

Query optimization over a heterogeneously distributed scientific database

Helen Xiang

Centre for Computer Science and Informatics Research

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

3 Citations (Scopus)

77 Downloads (Pure)

Abstract

This paper briefly discusses the concepts about distributed databases management system and distributed query processing. It then talks about the need of distributing large Scientific datasets such as the Sloan Digital Sky Survey.
The main focus of this paper is to investigate fully distributed queries involving cross-joins across a heterogeneously distributed scientific database.

Original language	English
Title of host publication	Procs 2013 IEEE International Conference on Big Data
Publisher	IEEE
Pages	58-64
ISBN (Print)	978-1-4799-1293-3
DOIs	https://doi.org/10.1109/BigData.2013.6691689
Publication status	Published - 2013
Event	2013 IEEE Int Conf on Big Data - Santa Clara, United States Duration: 6 Oct 2013 → 9 Oct 2013

Conference

Conference	2013 IEEE Int Conf on Big Data
Country/Territory	United States
City	Santa Clara
Period	6/10/13 → 9/10/13

Access to Document

10.1109/BigData.2013.6691689

HelenXiangAccepted author manuscript, 173 KB

Cite this

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title = "Query optimization over a heterogeneously distributed scientific database",

abstract = "This paper briefly discusses the concepts about distributed databases management system and distributed query processing. It then talks about the need of distributing large Scientific datasets such as the Sloan Digital Sky Survey. The main focus of this paper is to investigate fully distributed queries involving cross-joins across a heterogeneously distributed scientific database.",

author = "Helen Xiang",

note = "{\textcopyright} 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.; 2013 IEEE Int Conf on Big Data ; Conference date: 06-10-2013 Through 09-10-2013",

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N1 - © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

PY - 2013

Y1 - 2013

N2 - This paper briefly discusses the concepts about distributed databases management system and distributed query processing. It then talks about the need of distributing large Scientific datasets such as the Sloan Digital Sky Survey. The main focus of this paper is to investigate fully distributed queries involving cross-joins across a heterogeneously distributed scientific database.

AB - This paper briefly discusses the concepts about distributed databases management system and distributed query processing. It then talks about the need of distributing large Scientific datasets such as the Sloan Digital Sky Survey. The main focus of this paper is to investigate fully distributed queries involving cross-joins across a heterogeneously distributed scientific database.

U2 - 10.1109/BigData.2013.6691689

DO - 10.1109/BigData.2013.6691689

M3 - Conference contribution

SN - 978-1-4799-1293-3

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BT - Procs 2013 IEEE International Conference on Big Data

PB - IEEE

T2 - 2013 IEEE Int Conf on Big Data

Y2 - 6 October 2013 through 9 October 2013

ER -

Query optimization over a heterogeneously distributed scientific database

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