@inbook{574fdae45ecd4ada8c9d01dae2498ad4,
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 = sep,
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",
note = "7th International Provenance and Annotation Workshop, IPAW 2018 ; Conference date: 09-07-2018 Through 10-07-2018",
}