Experiments with in-transit processing for data intensive grid workflows

Viraj Bhat; Manish Parashar; Scott Klasky

doi:10.1109/GRID.2007.4354133

Experiments with in-transit processing for data intensive grid workflows

Viraj Bhat
, Manish Parashar
, Scott Klasky

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

18 Scopus citations

Abstract

Efficient and robust data streaming and in-transit data manipulations are critical requirements of emerging scientific and engineering application workflows, which are based on seamless interactions and coupling between geographically distributed application components. The overall goal of this research is to address these requirements and develop a data streaming and in-transit data manipulation service. In this paper, we experimentally investigate reactive management strategies for in-transit data manipulation, as well as cooperative end-to-end management for wide-area data-streaming and in-transit data manipulation for data-intensive scientific and engineering workflows.

Original language	English
Title of host publication	Proceedings - 8th IEEE/ACM International Conference on Grid Computing, GRID 2007
Pages	193-200
Number of pages	8
DOIs	https://doi.org/10.1109/GRID.2007.4354133
State	Published - 2007
Event	8th IEEE/ACM International Conference on Grid Computing, GRID 2007 - Austin, TX, United States Duration: Sep 19 2007 → Sep 21 2007

Publication series

Name	Proceedings - IEEE/ACM International Workshop on Grid Computing
ISSN (Print)	1550-5510

Conference

Conference	8th IEEE/ACM International Conference on Grid Computing, GRID 2007
Country/Territory	United States
City	Austin, TX
Period	09/19/07 → 09/21/07

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10.1109/GRID.2007.4354133

Cite this

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title = "Experiments with in-transit processing for data intensive grid workflows",

abstract = "Efficient and robust data streaming and in-transit data manipulations are critical requirements of emerging scientific and engineering application workflows, which are based on seamless interactions and coupling between geographically distributed application components. The overall goal of this research is to address these requirements and develop a data streaming and in-transit data manipulation service. In this paper, we experimentally investigate reactive management strategies for in-transit data manipulation, as well as cooperative end-to-end management for wide-area data-streaming and in-transit data manipulation for data-intensive scientific and engineering workflows.",

author = "Viraj Bhat and Manish Parashar and Scott Klasky",

year = "2007",

doi = "10.1109/GRID.2007.4354133",

language = "English",

isbn = "1424415608",

series = "Proceedings - IEEE/ACM International Workshop on Grid Computing",

pages = "193--200",

booktitle = "Proceedings - 8th IEEE/ACM International Conference on Grid Computing, GRID 2007",

note = "8th IEEE/ACM International Conference on Grid Computing, GRID 2007 ; Conference date: 19-09-2007 Through 21-09-2007",

}

Bhat, V, Parashar, M & Klasky, S 2007, Experiments with in-transit processing for data intensive grid workflows. in Proceedings - 8th IEEE/ACM International Conference on Grid Computing, GRID 2007., 4354133, Proceedings - IEEE/ACM International Workshop on Grid Computing, pp. 193-200, 8th IEEE/ACM International Conference on Grid Computing, GRID 2007, Austin, TX, United States, 09/19/07. https://doi.org/10.1109/GRID.2007.4354133

Experiments with in-transit processing for data intensive grid workflows. / Bhat, Viraj; Parashar, Manish; Klasky, Scott.
Proceedings - 8th IEEE/ACM International Conference on Grid Computing, GRID 2007. 2007. p. 193-200 4354133 (Proceedings - IEEE/ACM International Workshop on Grid Computing).

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

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AU - Klasky, Scott

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N2 - Efficient and robust data streaming and in-transit data manipulations are critical requirements of emerging scientific and engineering application workflows, which are based on seamless interactions and coupling between geographically distributed application components. The overall goal of this research is to address these requirements and develop a data streaming and in-transit data manipulation service. In this paper, we experimentally investigate reactive management strategies for in-transit data manipulation, as well as cooperative end-to-end management for wide-area data-streaming and in-transit data manipulation for data-intensive scientific and engineering workflows.

AB - Efficient and robust data streaming and in-transit data manipulations are critical requirements of emerging scientific and engineering application workflows, which are based on seamless interactions and coupling between geographically distributed application components. The overall goal of this research is to address these requirements and develop a data streaming and in-transit data manipulation service. In this paper, we experimentally investigate reactive management strategies for in-transit data manipulation, as well as cooperative end-to-end management for wide-area data-streaming and in-transit data manipulation for data-intensive scientific and engineering workflows.

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DO - 10.1109/GRID.2007.4354133

M3 - Conference contribution

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ER -

Experiments with in-transit processing for data intensive grid workflows

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