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@inproceedings{795313,
author = {Křenek, Aleš and Matyska, Luděk and Sitera, Jiří and Ruda, Miroslav and Dvořák, František and Filipovič, Jiří and Šustr, Zdeněk and Salvet, Zdeněk},
address = {Berlin},
booktitle = {Provenance and Annotation of Data and Processes. Second International Provenance and Annotation Workshop, IPAW 2008; LNCS},
keywords = {Provenance},
language = {eng},
location = {Berlin},
isbn = {978-3-540-89964-8},
pages = {144-151},
publisher = {Springer Berlin / Heidelberg},
title = {Job Provenance - Insight into Very Large Provenance Datasets},
url = {http://www.springerlink.com/content/m634jl860g15/},
year = {2008}
}
TY - JOUR
ID - 795313
AU - Křenek, Aleš - Matyska, Luděk - Sitera, Jiří - Ruda, Miroslav - Dvořák, František - Filipovič, Jiří - Šustr, Zdeněk - Salvet, Zdeněk
PY - 2008
TI - Job Provenance - Insight into Very Large Provenance Datasets
PB - Springer Berlin / Heidelberg
CY - Berlin
SN - 9783540899648
KW - Provenance
UR - http://www.springerlink.com/content/m634jl860g15/
N2 - Following the job centric monitoring concept, Job Provenance (JP) service organizes provenance records on the per job basis. It is designed to manage very large number of records, as was required in the EGEE project where it was developed originally. The quantitative aspect is also a focus of the presented demonstration. We show JP capability to retrieve data items of interest from a large dataset of full records of more than 1 million of jobs, to perform non trivial transformation on those data, and organize the results in such a way that repeated interactive queries are possible. The application area of the demo is derived from that of previous Provenance Challenges. Though the topic of the demo (a computational experiment) is arranged rather artificially, the demonstration still delivers its main message that JP supports non-trivial transformations and interactive queries on large data sets.
ER -
KŘENEK, Aleš, Luděk MATYSKA, Jiří SITERA, Miroslav RUDA, František DVOŘÁK, Jiří FILIPOVIČ, Zdeněk ŠUSTR and Zdeněk SALVET. Job Provenance - Insight into Very Large Provenance Datasets. In \textit{Provenance and Annotation of Data and Processes. Second International Provenance and Annotation Workshop, IPAW 2008; LNCS}. Berlin: Springer Berlin / Heidelberg, 2008, p.~144-151. ISBN~978-3-540-89964-8.
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