Amaranth框架:用于高保证计算的概率性、基于实用程序的服务质量管理

C. Hoover, Jeffery P. Hansen, P. Koopman, S. Tamboli
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引用次数: 10

摘要

系统资源管理是高保证应用的一个复杂问题,如战斗群的指挥和控制。这些应用程序通常需要有保证的计算服务,这些服务必须同时满足硬期限和软期限。此外,随着时间的推移,它们的资源需求可能会有很大的变化,在不活动的时期会出现高活动的爆发。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。随着高保证应用程序的复杂性的增加和降低系统成本的需要,专用资源并不是一个令人满意的解决方案。卡内基梅隆大学的Amaranth项目正在研究和开发一个框架,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。本文综述了紫红花研究框架、应用该框架的最新成果以及紫红花项目未来的研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Amaranth framework: Probabilistic, utility-based quality of service management for high-assurance computing
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.
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