Exploiting per user information for supercomputing workload prediction requires care

Tuan V Dinh, Lachlan Leicester Henry Andrew, Philip Branch

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

2 Citations (Scopus)
Original languageEnglish
Title of host publicationProceedings of the 13th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing (CCGrid 2013)
EditorsPavan Balaji, Dick Epema, Thomas Fahringer
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages2 - 9
Number of pages8
ISBN (Print)9780769549965
DOIs
Publication statusPublished - 2013
Externally publishedYes
EventIEEE International Symposium on Cluster, Cloud and Grid Computing 2013 - Delft, Netherlands
Duration: 13 May 201316 May 2013
Conference number: 13th
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6545869 (IEEE Conference Proceedings)

Conference

ConferenceIEEE International Symposium on Cluster, Cloud and Grid Computing 2013
Abbreviated titleCCGRID 2013
CountryNetherlands
CityDelft
Period13/05/1316/05/13
Internet address

Cite this

Dinh, T. V., Andrew, L. L. H., & Branch, P. (2013). Exploiting per user information for supercomputing workload prediction requires care. In P. Balaji, D. Epema, & T. Fahringer (Eds.), Proceedings of the 13th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing (CCGrid 2013) (pp. 2 - 9). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CCGrid.2013.68