Actor provenance capture with Ganglia

Wootten, Ian M., Rajbhandari, Shrija, Rana, Omer Farooq ORCID: https://orcid.org/0000-0003-3597-2646 and Pahwa, Jaspreet Singh 2006. Actor provenance capture with Ganglia. Presented at: CCGrid06: Sixth IEEE International Symposium on Cluster Computing and the Grid, Singapore, 16-19 May 2006. Published in: Turner, Stephen John, Lee, Bu Sung and Cai, Wientong eds. Proceedings of the Sixth International Symposium on Cluster Computing and the Grid: CCGrid 06. Los Alamitos, CA: IEEE, pp. 99-106. 10.1109/CCGRID.2006.1

Full text not available from this repository.

Abstract

Provenance is generally defined as the documentation of a process that leads to some result, and has long been recognised as being fundamental to the development of problem solving mechanisms within Grid environments. The knowledge of how a particular result has been derived is just as important as the result itself within many e-Science experiments. We present the concept of "actor" provenance, which provides detailed information concerning the state of an actor at a particular time. We also demonstrate how actor provenance differs from "interaction" provenance between actors. We describe how actor provenance may be represented and recorded using monitoring tools such as ganglia. This is explained using a number of use cases in a Bio-Diversity application.

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
Publisher:	IEEE
ISBN:	9780769525853
Related URLs:	Organisation
Last Modified:	24 Oct 2022 11:04
URI:	https://orca.cardiff.ac.uk/id/eprint/46859

Citation Data

Cited 3 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item