Dynamic Workflow Management Using Performance Data

Huang, L., Walker, David ORCID: https://orcid.org/0000-0002-1360-6330, Rana, Omer ORCID: https://orcid.org/0000-0003-3597-2646 and Huang, Y 2006. Dynamic Workflow Management Using Performance Data. Presented at: Sixth IEEE International Symposium on Cluster Computing and the grid, Cardiff, UK, Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGRID'06). pp. 154-157. 10.1109/CCGRID.2006.37

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Abstract

An approach to dynamic workflow management and optimisation using performance data is presented. We discuss strategies for choosing an optimal service (based on user specified criteria) from several semantically equivalent Web Services. Such an approach involves finding "similar" services, by first pruning the set of discovered services based on service metadata, and subsequently selecting an optimal service based on data recorded during prior executions of a service and/or current machine loads. We describe the current implementation of the system, and demonstrate this by a BLAST (used in BioInformatics for Protein-alignment) example by using the Ganglia monitoring tool to get performance data.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Last Modified:	17 Oct 2022 10:13
URI:	https://orca.cardiff.ac.uk/id/eprint/7382

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