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

机译:苋菜框架:高保证计算的概率,实用的服务质量管理

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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:对于高保障的应用程序,如战斗群的指挥和控制系统的资源管理是一个复杂的问题。这些应用通常需要保证计算服务必须满足两个硬性和软性的最后期限。此外,他们的资源需求可以改变显著随着时间的推移之中闲置期间高的突发状况。传统的解决方案是将资源集中用于关键应用任务和共享资源的非关键任务之一。随着高保证应用的日益复杂和需要降低系统成本,致力于资源并不是一个令人满意的解决方案。所述苋菜项目卡内基梅隆正在研究和开发的框架用于分配共享资源,以支持服务质量(QoS)的尺寸的多个质量和提供服务的概率保证。本文是苋菜的框架,从应用框架目前的成绩,以及未来的研究方向为苋菜项目的概述。

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