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The Amaranth framework: Probabilistic, utility-based quality of service management for high-assurance computing

机译:Amaranth框架:基于概率,基于实用程序的服务质量管理,可实现高保证的计算

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System resource management for high-assurance applications such as the command and control of a battle group is a complex problem. These applications often require guaranteed computing services that must satisfy both hard and soft deadlines. In addition, their resource demands can vary significantly over time with bursts of high activity amidst periods of inactivity. A traditional solution has been to dedicate resources to critical application tasks and to share resources among noncritical tasks. With the increasing complexity of high-assurance applications and the need to reduce system costs, dedicating resources is not a satisfactory solution. The Amaranth Project at Carnegie Mellon is researching and developing a framework for allocating shared resources to support multiple quality of service (QoS) dimensions and to provide probabilistic assurances of service. This paper is an overview of the Amaranth framework, the current results from applying the framework, and the future research directions for the Amaranth project.
机译:用于高安全性应用程序(例如,战斗群的命令和控制)的系统资源管理是一个复杂的问题。这些应用程序通常需要保证的计算服务,这些服务必须同时满足硬性和软性期限。此外,在一段时间的不活动期间,随着高活动的爆发,他们的资源需求可能会随着时间发生显着变化。传统的解决方案是将资源专用于关键应用程序任务,并在非关键任务之间共享资源。随着高安全性应用程序的复杂性增加以及降低系统成本的需求,专用资源并不是令人满意的解决方案。卡耐基梅隆大学的A菜项目正在研究和开发一种框架,该框架用于分配共享资源以支持多个服务质量(QoS)维度并提供服务的概率保证。本文概述了the菜框架,该框架当前的应用结果以及A菜项目的未来研究方向。

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