Capturing Workflow Event Data for Monitoring, Performance Analysis, and Management of Scientific Workflows

Author

Valerio, Matthew D. ; Sahoo, Satya S. ; Barga, Roger S. ; Jackson, Jared J.

Author_Institution

EASE Lab., Ohio State Univ., OH, USA

fYear

2008

fDate

7-12 Dec. 2008

Firstpage

626

Lastpage

633

Abstract

To effectively support real-time monitoring and performance analysis of scientific workflow execution, varying levels of event data must be captured and made available to interested parties. This paper discusses the creation of an ontology-aware workflow monitoring system for use in the Trident system which utilizes a distributed publish/subscribe event model. The implementation of the publish/subscribe system is discussed and performance results are presented.

Keywords

middleware; ontologies (artificial intelligence); real-time systems; scientific information systems; system monitoring; workflow management software; Trident system; data monitoring; distributed publish/subscribe event model; ontology-aware workflow monitoring system; real-time monitoring; scientific workflow management; workflow event data; Condition monitoring; Conference management; Costs; Histograms; History; Logic; Ontologies; Performance analysis; Resource management; Runtime; Trident; publish/subscribe; workflow;

fLanguage

English

Publisher

ieee

Conference_Titel

eScience, 2008. eScience '08. IEEE Fourth International Conference on

Conference_Location

Indianapolis, IN

Print_ISBN

978-1-4244-3380-3

Electronic_ISBN

978-0-7695-3535-7

Type

conf

DOI

10.1109/eScience.2008.164

Filename

4736876