Toward a reliable distributed data management system

Ismail Akturk; Xinqi Wang; Tevfik Kosar

doi:10.1109/ISPDC.2010.15

Toward a reliable distributed data management system

Ismail Akturk
, Xinqi Wang
, Tevfik Kosar

Department of Computer Science and Engineering

Louisiana State University

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

Abstract

Modern collaborative science has placed increasing burden on data management infrastructure to handle the increasingly large data archives generated. Beside functionality, reliability and availability are also key factors in delivering a data management system that can efficiently and effectively meet the challenges posed and compounded by the unbounded increase in the size of data archive generated by scientific applications. In this paper, we present our work on increasing and improving reliability and availability in the data management system we designed for the PetaShare project, we also discuss our work on benchmarking the performance and scalability of metadata management system in PetaShare project.

Original language	English
Title of host publication	2010 9th International Symposium on Parallel and Distributed Computing, ISPDC 2010
Pages	109-116
Number of pages	8
DOIs	https://doi.org/10.1109/ISPDC.2010.15
State	Published - 2010
Event	9th International Symposium on Parallel and Distributed Computing, ISPDC 2010 - Istanbul, Turkey Duration: Jul 7 2010 → Jul 9 2010

Publication series

Name	9th International Symposium on Parallel and Distributed Computing, ISPDC 2010

Conference

Conference	9th International Symposium on Parallel and Distributed Computing, ISPDC 2010
Country/Territory	Turkey
City	Istanbul
Period	07/7/10 → 07/9/10

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10.1109/ISPDC.2010.15

Cite this

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title = "Toward a reliable distributed data management system",

abstract = "Modern collaborative science has placed increasing burden on data management infrastructure to handle the increasingly large data archives generated. Beside functionality, reliability and availability are also key factors in delivering a data management system that can efficiently and effectively meet the challenges posed and compounded by the unbounded increase in the size of data archive generated by scientific applications. In this paper, we present our work on increasing and improving reliability and availability in the data management system we designed for the PetaShare project, we also discuss our work on benchmarking the performance and scalability of metadata management system in PetaShare project.",

author = "Ismail Akturk and Xinqi Wang and Tevfik Kosar",

year = "2010",

doi = "10.1109/ISPDC.2010.15",

language = "English",

isbn = "9780769541204",

series = "9th International Symposium on Parallel and Distributed Computing, ISPDC 2010",

pages = "109--116",

booktitle = "2010 9th International Symposium on Parallel and Distributed Computing, ISPDC 2010",

note = "9th International Symposium on Parallel and Distributed Computing, ISPDC 2010 ; Conference date: 07-07-2010 Through 09-07-2010",

}

Akturk, I, Wang, X & Kosar, T 2010, Toward a reliable distributed data management system. in 2010 9th International Symposium on Parallel and Distributed Computing, ISPDC 2010., 5532503, 9th International Symposium on Parallel and Distributed Computing, ISPDC 2010, pp. 109-116, 9th International Symposium on Parallel and Distributed Computing, ISPDC 2010, Istanbul, Turkey, 07/7/10. https://doi.org/10.1109/ISPDC.2010.15

Toward a reliable distributed data management system. / Akturk, Ismail; Wang, Xinqi; Kosar, Tevfik.
2010 9th International Symposium on Parallel and Distributed Computing, ISPDC 2010. 2010. p. 109-116 5532503 (9th International Symposium on Parallel and Distributed Computing, ISPDC 2010).

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

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AU - Kosar, Tevfik

PY - 2010

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N2 - Modern collaborative science has placed increasing burden on data management infrastructure to handle the increasingly large data archives generated. Beside functionality, reliability and availability are also key factors in delivering a data management system that can efficiently and effectively meet the challenges posed and compounded by the unbounded increase in the size of data archive generated by scientific applications. In this paper, we present our work on increasing and improving reliability and availability in the data management system we designed for the PetaShare project, we also discuss our work on benchmarking the performance and scalability of metadata management system in PetaShare project.

AB - Modern collaborative science has placed increasing burden on data management infrastructure to handle the increasingly large data archives generated. Beside functionality, reliability and availability are also key factors in delivering a data management system that can efficiently and effectively meet the challenges posed and compounded by the unbounded increase in the size of data archive generated by scientific applications. In this paper, we present our work on increasing and improving reliability and availability in the data management system we designed for the PetaShare project, we also discuss our work on benchmarking the performance and scalability of metadata management system in PetaShare project.

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DO - 10.1109/ISPDC.2010.15

M3 - Conference contribution

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T3 - 9th International Symposium on Parallel and Distributed Computing, ISPDC 2010

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BT - 2010 9th International Symposium on Parallel and Distributed Computing, ISPDC 2010

T2 - 9th International Symposium on Parallel and Distributed Computing, ISPDC 2010

Y2 - 7 July 2010 through 9 July 2010

ER -

Toward a reliable distributed data management system

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