Instrumentation and Trace Analysis for Ad-Hoc Python Workflows in Cloud Environments

Ruben Acuna; Zoe Lacroix; Rida Bazzi

doi:10.1109/CLOUD.2015.25

Instrumentation and Trace Analysis for Ad-Hoc Python Workflows in Cloud Environments

Ruben Acuna, Zoe Lacroix, Rida Bazzi

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

6 Scopus citations

Abstract

Knowledge of structure is critical to map legacy workflows to environments suitable to run on the cloud. We present a method which characterizes a workflow structure with the execution trace produced by instrumented logging functionality. The method generates the structure of workflows to support their reuse by permitting their transformation into modern execution environments. The method presented in the paper is implemented for Python workflows and demonstrated in the context of several legacy scientific workflows.

Original language	English (US)
Title of host publication	Proceedings - 2015 IEEE 8th International Conference on Cloud Computing, CLOUD 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	114-121
Number of pages	8
ISBN (Print)	9781467372879
DOIs	https://doi.org/10.1109/CLOUD.2015.25
State	Published - Aug 19 2015
Event	8th IEEE International Conference on Cloud Computing, CLOUD 2015 - New York, United States Duration: Jun 27 2015 → Jul 2 2015

Other

Other	8th IEEE International Conference on Cloud Computing, CLOUD 2015
Country/Territory	United States
City	New York
Period	6/27/15 → 7/2/15

Keywords

Cloud
Instrumentation
Python
Scientific application
Trace analysis
Workflow
Workflow graph
Workflow structure

ASJC Scopus subject areas

Computer Networks and Communications

Access to Document

10.1109/CLOUD.2015.25

Cite this

Instrumentation and Trace Analysis for Ad-Hoc Python Workflows in Cloud Environments. / Acuna, Ruben; Lacroix, Zoe; Bazzi, Rida.
Proceedings - 2015 IEEE 8th International Conference on Cloud Computing, CLOUD 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 114-121 7214035.

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

Acuna, R, Lacroix, Z & Bazzi, R 2015, Instrumentation and Trace Analysis for Ad-Hoc Python Workflows in Cloud Environments. in Proceedings - 2015 IEEE 8th International Conference on Cloud Computing, CLOUD 2015., 7214035, Institute of Electrical and Electronics Engineers Inc., pp. 114-121, 8th IEEE International Conference on Cloud Computing, CLOUD 2015, New York, United States, 6/27/15. https://doi.org/10.1109/CLOUD.2015.25

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KW - Workflow

KW - Workflow graph

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ER -

Instrumentation and Trace Analysis for Ad-Hoc Python Workflows in Cloud Environments

Abstract

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Keywords

ASJC Scopus subject areas

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