A Probabilistic Approach to Model Resource Contention for Performance Estimation of Multi-featured Media Devices
The 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.
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A Probabilistic Approach to Model Resource Contention for Performance Estimation of Multi-featured Media Devices
Akash Kumar, Bart Mesman, Bart Theelen, Henk Corporaal and Yajun Ha.
In Design Automation Conference, DAC 07, Proceedings, pages xyz-xyz. San Diego, California, USA, 4-8 June, 2007. ACM Press, New York, NY, USA, 2007. (abstract, pdf).
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