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Mode-based resource-usage prediction for runtime resource reservations of video components

机译:视频组件运行时资源预留的基于模式的资源使用预测

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摘要

Scalability and reusability of software components enable consumer electronics products to become more open and flexible. Some important features in many of those products are provided via video components. Since these components have highly fluctuating resource usage, dynamic re-allocation of resources is more cost-effective than static allocation. Dynamic resource allocation, however, requires strategies and mechanisms for predicting the requested resources of a component. In this paper, a novel mechanism to detect resource-usage modes for video components is proposed. First, these resource-usage modes are defined and experimentally identified for two example video components. Second, a modedetection algorithm and heuristics for choosing proper parameters for mode detection are introduced. Finally, the run-time properties of a mode-prediction mechanism are evaluated.
机译:软件组件的可伸缩性和可重用性使消费类电子产品变得更加开放和灵活。其中许多产品的一些重要功能是通过视频组件提供的。由于这些组件的资源使用情况波动很大,因此,动态重新分配资源比静态分配更具成本效益。但是,动态资源分配需要用于预测组件所请求资源的策略和机制。本文提出了一种新颖的机制来检测视频组件的资源使用模式。首先,针对两个示例视频组件定义并实验确定了这些资源使用模式。其次,介绍了一种模式检测算法和用于选择适当参数进行模式检测的启发式算法。最后,评估了模式预测机制的运行时属性。

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