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

doi:10.1109/ICCE.2013.6486840

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 proceeding › Conference contribution › Academic › peer-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 language	English
Title of host publication	Proceedings of the 31st IEEE International Conference on Consumer Electronics (ICCE, Las Vegas NV, USA, January 11-14, 2013)
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	161-162
ISBN (Print)	978-1-4673-1361-2
DOIs	https://doi.org/10.1109/ICCE.2013.6486840
Publication status	Published - 2013
Event	2013 IEEE International Conference on Consumer Electronics, ICCE 2013 - Las Vegas, United States Duration: 11 Jan 2013 → 14 Jan 2013

Conference

Conference	2013 IEEE International Conference on Consumer Electronics, ICCE 2013
Abbreviated title	ICCE 2013
Country/Territory	United States
City	Las Vegas
Period	11/01/13 → 14/01/13

Access to Document

10.1109/ICCE.2013.6486840

Cite this

David, I., Heuvel, van den, M. M. H. P., Mak, R. H., & Lukkien, J. J. (2013). Resource-usage modes detection for run-time resource prediction of video components. In Proceedings of the 31st IEEE International Conference on Consumer Electronics (ICCE, Las Vegas NV, USA, January 11-14, 2013) (pp. 161-162). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICCE.2013.6486840

@inproceedings{ada44a9c46a74d3e84d090eb382d06db,

title = "Resource-usage modes detection for run-time resource prediction of video components",

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.",

author = "I. David and \{Heuvel, van den\}, M.M.H.P. and R.H. Mak and J.J. Lukkien",

year = "2013",

doi = "10.1109/ICCE.2013.6486840",

language = "English",

isbn = "978-1-4673-1361-2",

publisher = "Institute of Electrical and Electronics Engineers",

pages = "161--162",

booktitle = "Proceedings of the 31st IEEE International Conference on Consumer Electronics (ICCE, Las Vegas NV, USA, January 11-14, 2013)",

address = "United States",

note = "2013 IEEE International Conference on Consumer Electronics, ICCE 2013, ICCE 2013 ; Conference date: 11-01-2013 Through 14-01-2013",

}

David, I, Heuvel, van den, MMHP, Mak, RH & Lukkien, JJ 2013, Resource-usage modes detection for run-time resource prediction of video components. in Proceedings of the 31st IEEE International Conference on Consumer Electronics (ICCE, Las Vegas NV, USA, January 11-14, 2013). Institute of Electrical and Electronics Engineers, Piscataway, pp. 161-162, 2013 IEEE International Conference on Consumer Electronics, ICCE 2013, Las Vegas, Nevada, United States, 11/01/13. https://doi.org/10.1109/ICCE.2013.6486840

Resource-usage modes detection for run-time resource prediction of video components. / David, I.; Heuvel, van den, M.M.H.P.; Mak, R.H. et al.
Proceedings of the 31st IEEE International Conference on Consumer Electronics (ICCE, Las Vegas NV, USA, January 11-14, 2013). Piscataway: Institute of Electrical and Electronics Engineers, 2013. p. 161-162.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Resource-usage modes detection for run-time resource prediction of video components

AU - David, I.

AU - Heuvel, van den, M.M.H.P.

AU - Mak, R.H.

AU - Lukkien, J.J.

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

U2 - 10.1109/ICCE.2013.6486840

DO - 10.1109/ICCE.2013.6486840

M3 - Conference contribution

SN - 978-1-4673-1361-2

SP - 161

EP - 162

BT - Proceedings of the 31st IEEE International Conference on Consumer Electronics (ICCE, Las Vegas NV, USA, January 11-14, 2013)

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway

T2 - 2013 IEEE International Conference on Consumer Electronics, ICCE 2013

Y2 - 11 January 2013 through 14 January 2013

ER -

David I, Heuvel, van den MMHP, Mak RH , Lukkien JJ. Resource-usage modes detection for run-time resource prediction of video components. In Proceedings of the 31st IEEE International Conference on Consumer Electronics (ICCE, Las Vegas NV, USA, January 11-14, 2013). Piscataway: Institute of Electrical and Electronics Engineers. 2013. p. 161-162 doi: 10.1109/ICCE.2013.6486840

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

Abstract

Conference

Access to Document

Fingerprint

Cite this