A new approach to cross-layer optimization of multimedia systems

Nicholas Mastronarde, M. Schaar
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引用次数: 2

Abstract

In recent years, cross-layer multimedia system design and optimization has garnered significant attention; however, there is no existing rigorous methodology for optimizing two or more system layers (e.g. the application, operating system, and hardware layers) jointly while maintaining a separation among the decision processes of each layer. Moreover, existing work often relies on myopic optimizations, which ignore the impact of decisions made at the current time on the system's future performance. In this paper, we propose a novel systematic framework for jointly optimizing the different system layers to improve the performance of one multimedia application. In particular, we model the system as a layered Markov Decision Process (MDP), which enables each layer to make autonomous and foresighted decisions that optimize the system's long-term performance.
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多媒体系统跨层优化的新方法
近年来,跨层多媒体系统的设计与优化备受关注;然而,目前还没有一种严格的方法来联合优化两个或多个系统层(例如,应用程序层、操作系统层和硬件层),同时保持每层决策过程之间的分离。此外,现有的工作通常依赖于短视的优化,忽略了在当前时间做出的决策对系统未来性能的影响。在本文中,我们提出了一个新的系统框架来共同优化不同的系统层,以提高一个多媒体应用程序的性能。特别是,我们将系统建模为分层的马尔可夫决策过程(MDP),这使得每一层都能够做出自主和有远见的决策,从而优化系统的长期性能。
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