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This thesis focuses on modeling the performance of software executing on embedded processors in the context of a heterogeneous multi-processor system on chip in a more flexible and scalable manner than current approaches.
This work focuses on modeling the performance of software executing on embedded processors in the context of a heterogeneous multi-processor system on chip in a more flexible and scalable manner than current approaches.
The mathematical expression of surface geometry and topography is the first step towards modeling the performance of tribological elements with rough surfaces.
This work presents a simple method for modeling the performance of a thermal energy storage (TES) system that contains a phase-change material (PCM).
The focus of the final part of this article is discussion of emerging hydrogel delivery systems and challenges associated with modeling the performance of these devices.
This paper describes the development, validation and use of a design and simulation tool for modeling the performance of a salinity gradient solar pond.
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Many approaches are presented to model the performance of this type of system.
Queuing theory has been applied to model the performance in several contexts.
A lot of research has been conducted to model the performance of heterogeneous networks.
We have selected queuing theory as the basic mean to model the performance of the cloud system.
In Monte Carlo simulations, for instance, powerful computers model the performance of a stock millions of times and then average the results.
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