Please use this identifier to cite or link to this item: https://doi.org/10.1109/DAC.2007.375259
DC FieldValue
dc.titleA probabilistic approach to model resource contention for performance estimation of multi-featured media devices
dc.contributor.authorKumar, A.
dc.contributor.authorMesman, B.
dc.contributor.authorCorporaal, H.
dc.contributor.authorTheelen, B.
dc.contributor.authorHa, Y.
dc.date.accessioned2014-06-19T02:55:55Z
dc.date.available2014-06-19T02:55:55Z
dc.date.issued2007
dc.identifier.citationKumar, A., Mesman, B., Corporaal, H., Theelen, B., Ha, Y. (2007). A probabilistic approach to model resource contention for performance estimation of multi-featured media devices. Proceedings - Design Automation Conference : 726-731. ScholarBank@NUS Repository. https://doi.org/10.1109/DAC.2007.375259
dc.identifier.isbn1595936270
dc.identifier.issn0738100X
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/69018
dc.description.abstractThe number of features that are supported in modern multimedia devices is increasing faster than ever. Estimating the performance of such applications when they are running on shared resources is becoming increasingly complex. Simulation of all possible use-cases is very time-consuming and often undesirable. In this paper, a new technique is proposed based on probabilistically estimating the performance of concurrently executing applications that share resources. Two different methods of employing this approach are presented and compared with state-of-the-art technique, and with achieved performance found through extensive simulations. The results are within 15% of simulation result (considered as reference case) and up to ten times better than a worst-case estimation approach. The approach scales very well with increasing number of applications, and can also be applied at run-time for admission control. Copyright 2007 ACM.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/DAC.2007.375259
dc.sourceScopus
dc.subjectPerformance estimation
dc.subjectProbability
dc.subjectResource sharing
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/DAC.2007.375259
dc.description.sourcetitleProceedings - Design Automation Conference
dc.description.page726-731
dc.description.codenPDAWD
dc.identifier.isiut000249725800147
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

6
checked on Nov 28, 2021

WEB OF SCIENCETM
Citations

5
checked on Nov 12, 2021

Page view(s)

95
checked on Nov 18, 2021

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.