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Bottleneck patterns in provenance

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Bottleneck patterns in provenance. / Boutamina, Sara; Millington, James D.A.; Miles, Simon.

Provenance and Annotation of Data and Processes - 7th International Provenance and Annotation Workshop, IPAW 2018, Proceedings. Springer Verlag, 2018. p. 212-216 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11017 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference paper

Harvard

Boutamina, S, Millington, JDA & Miles, S 2018, Bottleneck patterns in provenance. in Provenance and Annotation of Data and Processes - 7th International Provenance and Annotation Workshop, IPAW 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11017 LNCS, Springer Verlag, pp. 212-216, 7th International Provenance and Annotation Workshop, IPAW 2018, London, United Kingdom, 9/07/2018. https://doi.org/10.1007/978-3-319-98379-0_22

APA

Boutamina, S., Millington, J. D. A., & Miles, S. (2018). Bottleneck patterns in provenance. In Provenance and Annotation of Data and Processes - 7th International Provenance and Annotation Workshop, IPAW 2018, Proceedings (pp. 212-216). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11017 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-98379-0_22

Vancouver

Boutamina S, Millington JDA, Miles S. Bottleneck patterns in provenance. In Provenance and Annotation of Data and Processes - 7th International Provenance and Annotation Workshop, IPAW 2018, Proceedings. Springer Verlag. 2018. p. 212-216. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-98379-0_22

Author

Boutamina, Sara ; Millington, James D.A. ; Miles, Simon. / Bottleneck patterns in provenance. Provenance and Annotation of Data and Processes - 7th International Provenance and Annotation Workshop, IPAW 2018, Proceedings. Springer Verlag, 2018. pp. 212-216 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

Bibtex Download

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title = "Bottleneck patterns in provenance",
abstract = "A bottleneck, in general, is a point of congestion in a system which impacts its efficiency, productivity and may lead to delays. Identifying and then fixing bottlenecks is an important step in maintaining and improving a system. To detect bottlenecks, we must understand the flow of processes, and dependencies between resources. Thus provenance information is an appropriate form of input to address this matter. In this paper, bottleneck patterns based on provenance graphs are proposed. These patterns are used to define the structures bottlenecks may take based on their classification, and offer a way to detect possible bottlenecks. An example from soybeans distribution is used to illustrate this preliminary work.",
keywords = "Bottleneck patterns, Bottlenecks, Provenance graphs",
author = "Sara Boutamina and Millington, {James D.A.} and Simon Miles",
year = "2018",
month = "9",
day = "6",
doi = "10.1007/978-3-319-98379-0_22",
language = "English",
isbn = "9783319983783",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "212--216",
booktitle = "Provenance and Annotation of Data and Processes - 7th International Provenance and Annotation Workshop, IPAW 2018, Proceedings",
address = "Germany",

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RIS (suitable for import to EndNote) Download

TY - CHAP

T1 - Bottleneck patterns in provenance

AU - Boutamina, Sara

AU - Millington, James D.A.

AU - Miles, Simon

PY - 2018/9/6

Y1 - 2018/9/6

N2 - A bottleneck, in general, is a point of congestion in a system which impacts its efficiency, productivity and may lead to delays. Identifying and then fixing bottlenecks is an important step in maintaining and improving a system. To detect bottlenecks, we must understand the flow of processes, and dependencies between resources. Thus provenance information is an appropriate form of input to address this matter. In this paper, bottleneck patterns based on provenance graphs are proposed. These patterns are used to define the structures bottlenecks may take based on their classification, and offer a way to detect possible bottlenecks. An example from soybeans distribution is used to illustrate this preliminary work.

AB - A bottleneck, in general, is a point of congestion in a system which impacts its efficiency, productivity and may lead to delays. Identifying and then fixing bottlenecks is an important step in maintaining and improving a system. To detect bottlenecks, we must understand the flow of processes, and dependencies between resources. Thus provenance information is an appropriate form of input to address this matter. In this paper, bottleneck patterns based on provenance graphs are proposed. These patterns are used to define the structures bottlenecks may take based on their classification, and offer a way to detect possible bottlenecks. An example from soybeans distribution is used to illustrate this preliminary work.

KW - Bottleneck patterns

KW - Bottlenecks

KW - Provenance graphs

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U2 - 10.1007/978-3-319-98379-0_22

DO - 10.1007/978-3-319-98379-0_22

M3 - Conference paper

AN - SCOPUS:85053855725

SN - 9783319983783

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 212

EP - 216

BT - Provenance and Annotation of Data and Processes - 7th International Provenance and Annotation Workshop, IPAW 2018, Proceedings

PB - Springer Verlag

ER -

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