Resource-usage modes detection for run-time resource prediction of video components

I. David, M.M.H.P. Heuvel, van den, R.H. Mak, J.J. Lukkien

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

1 Citation (Scopus)

Abstract

Consumer electronic products become increasingly more open and flexible, which is achieved by scalable and reusable software components. Important features in many of those products are provided via video components. Since these components have fluctuating resource usage, run-time resource-prediction strategies are required to enable cost-effective resource allocations. In this paper, we propose a novel method to identify resource-usage modes for video components.
Original languageEnglish
Title of host publicationProceedings of the 31st IEEE International Conference on Consumer Electronics (ICCE, Las Vegas NV, USA, January 11-14, 2013)
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages161-162
ISBN (Print)978-1-4673-1361-2
DOIs
Publication statusPublished - 2013
Event2013 IEEE International Conference on Consumer Electronics, ICCE 2013 - Las Vegas, United States
Duration: 11 Jan 201314 Jan 2013

Conference

Conference2013 IEEE International Conference on Consumer Electronics, ICCE 2013
Abbreviated titleICCE 2013
Country/TerritoryUnited States
CityLas Vegas
Period11/01/1314/01/13

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