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A Probabilistic Approach to Model Resource Contention for Performance Estimation of Multi-featured Media Devices

机译:一种概率争论资源争论的概率思考,用于多丝媒体设备的性能估计

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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.
机译:现代多媒体设备中支持的功能数量比以往更快。在共享资源上运行时,估算这些应用程序的性能变得越来越复杂。模拟所有可能使用情况的情况非常耗时,并且通常是不可取的。在本文中,基于概率估计共享资源的同时执行应用程序的性能,提出了一种新技术。通过最先进的技术介绍了两种不同的采用这种方法的方法,并通过广泛的模拟找到了实现的性能。结果在模拟结果的15%以内(被视为参考情况),比最坏情况估计方法更好地达到10倍。该方法越来越好,越来越多的应用程序,也可以在进入控制的运行时应用。

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