Resiliency variance in workflows with choice

John C. Mace; Charles Morisset; Aad van Moorsel

doi:10.1007/978-3-319-23129-7_10

Resiliency variance in workflows with choice

John C. Mace^*
, Charles Morisset
, Aad van Moorsel

^*Corresponding author for this work

Computer Science

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

Abstract

Computing a user-task assignment for a workflow coming with probabilistic user availability provides a measure of completion rate or resiliency. To a workflow designer this indicates a risk of failure, especially useful for workflows which cannot be changed due to rigid security constraints. Furthermore, resiliency can help outline a mitigation strategy which states actions that can be performed to avoid workflow failures. A workflow with choice may have many different resiliency values, one for each of its execution paths. This makes understanding failure risk and mitigation requirements much more complex. We introduce resiliency variance, a new analysis metric for workflows which indicates volatility from the resiliency average. We suggest this metric can help determine the risk taken on by implementing a given workflow with choice. For instance, high average resiliency and low variance would suggest a low risk of workflow failure.

Original language	English
Title of host publication	Software Engineering for Resilient Systems - 7th International Workshop, SERENE 2015, Proceedings
Editors	Alessandro Fantechi, Patrizio Pelliccione
Publisher	Springer Verlag
Pages	128-143
Number of pages	16
ISBN (Print)	9783319231280
DOIs	https://doi.org/10.1007/978-3-319-23129-7_10
Publication status	Published - 2015
Event	7th International Workshop on Software Engineering for Resilient Systems, SERENE 2015 - Paris, France Duration: 7 Sept 2015 → 8 Sept 2015

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9274
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	7th International Workshop on Software Engineering for Resilient Systems, SERENE 2015
Country/Territory	France
City	Paris
Period	7/09/15 → 8/09/15

Bibliographical note

Publisher Copyright:
© Springer International Publishing Switzerland 2015.

Keywords

Quantitative analysis
Resiliency metrics
Workflow satisfiability problem

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-319-23129-7_10

Cite this

Mace, J. C., Morisset, C., & van Moorsel, A. (2015). Resiliency variance in workflows with choice. In A. Fantechi, & P. Pelliccione (Eds.), Software Engineering for Resilient Systems - 7th International Workshop, SERENE 2015, Proceedings (pp. 128-143). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9274). Springer Verlag. https://doi.org/10.1007/978-3-319-23129-7_10

Mace, John C. ; Morisset, Charles ; van Moorsel, Aad. / Resiliency variance in workflows with choice. Software Engineering for Resilient Systems - 7th International Workshop, SERENE 2015, Proceedings. editor / Alessandro Fantechi ; Patrizio Pelliccione. Springer Verlag, 2015. pp. 128-143 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Computing a user-task assignment for a workflow coming with probabilistic user availability provides a measure of completion rate or resiliency. To a workflow designer this indicates a risk of failure, especially useful for workflows which cannot be changed due to rigid security constraints. Furthermore, resiliency can help outline a mitigation strategy which states actions that can be performed to avoid workflow failures. A workflow with choice may have many different resiliency values, one for each of its execution paths. This makes understanding failure risk and mitigation requirements much more complex. We introduce resiliency variance, a new analysis metric for workflows which indicates volatility from the resiliency average. We suggest this metric can help determine the risk taken on by implementing a given workflow with choice. For instance, high average resiliency and low variance would suggest a low risk of workflow failure.",

keywords = "Quantitative analysis, Resiliency metrics, Workflow satisfiability problem",

author = "Mace, \{John C.\} and Charles Morisset and \{van Moorsel\}, Aad",

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language = "English",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Mace, JC, Morisset, C & van Moorsel, A 2015, Resiliency variance in workflows with choice. in A Fantechi & P Pelliccione (eds), Software Engineering for Resilient Systems - 7th International Workshop, SERENE 2015, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9274, Springer Verlag, pp. 128-143, 7th International Workshop on Software Engineering for Resilient Systems, SERENE 2015, Paris, France, 7/09/15. https://doi.org/10.1007/978-3-319-23129-7_10

Resiliency variance in workflows with choice. / Mace, John C.; Morisset, Charles; van Moorsel, Aad.
Software Engineering for Resilient Systems - 7th International Workshop, SERENE 2015, Proceedings. ed. / Alessandro Fantechi; Patrizio Pelliccione. Springer Verlag, 2015. p. 128-143 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9274).

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

TY - GEN

T1 - Resiliency variance in workflows with choice

AU - Mace, John C.

AU - Morisset, Charles

AU - van Moorsel, Aad

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2015.

PY - 2015

Y1 - 2015

N2 - Computing a user-task assignment for a workflow coming with probabilistic user availability provides a measure of completion rate or resiliency. To a workflow designer this indicates a risk of failure, especially useful for workflows which cannot be changed due to rigid security constraints. Furthermore, resiliency can help outline a mitigation strategy which states actions that can be performed to avoid workflow failures. A workflow with choice may have many different resiliency values, one for each of its execution paths. This makes understanding failure risk and mitigation requirements much more complex. We introduce resiliency variance, a new analysis metric for workflows which indicates volatility from the resiliency average. We suggest this metric can help determine the risk taken on by implementing a given workflow with choice. For instance, high average resiliency and low variance would suggest a low risk of workflow failure.

AB - Computing a user-task assignment for a workflow coming with probabilistic user availability provides a measure of completion rate or resiliency. To a workflow designer this indicates a risk of failure, especially useful for workflows which cannot be changed due to rigid security constraints. Furthermore, resiliency can help outline a mitigation strategy which states actions that can be performed to avoid workflow failures. A workflow with choice may have many different resiliency values, one for each of its execution paths. This makes understanding failure risk and mitigation requirements much more complex. We introduce resiliency variance, a new analysis metric for workflows which indicates volatility from the resiliency average. We suggest this metric can help determine the risk taken on by implementing a given workflow with choice. For instance, high average resiliency and low variance would suggest a low risk of workflow failure.

KW - Quantitative analysis

KW - Resiliency metrics

KW - Workflow satisfiability problem

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AN - SCOPUS:84983746054

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

SP - 128

EP - 143

BT - Software Engineering for Resilient Systems - 7th International Workshop, SERENE 2015, Proceedings

A2 - Fantechi, Alessandro

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PB - Springer Verlag

T2 - 7th International Workshop on Software Engineering for Resilient Systems, SERENE 2015

Y2 - 7 September 2015 through 8 September 2015

ER -

Mace JC, Morisset C, van Moorsel A. Resiliency variance in workflows with choice. In Fantechi A, Pelliccione P, editors, Software Engineering for Resilient Systems - 7th International Workshop, SERENE 2015, Proceedings. Springer Verlag. 2015. p. 128-143. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-23129-7_10

Resiliency variance in workflows with choice

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this