Pulsar:用于时间关键型面向服务应用程序的资源控制体系结构

M. Astley;S. Bhola;M. J. Ward;K. Shagin;H. Paz;G. Gershinsky
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引用次数: 5

摘要

随着实时系统从孤立设备转移到多级网络系统,实时系统的复杂性正在迅速增长。开发和管理这些系统的传统方法无法扩展以满足新一代分布式应用程序的要求。虽然复杂实时应用程序的开发人员正在寻求面向服务的体系结构来满足他们对易于开发和集成灵活性的需求,但当前面向服务的应用程序的软件基础架构并没有解决其托管的应用程序可预测的延迟问题。在本文中,我们介绍了Pulsar,这是一种资源控制架构,用于管理一组分布式、时间关键型应用程序的端到端延迟。Pulsar的主要实体称为控制器,用于调节资源分配或调度策略的某个方面。控制器利用策略配置,其可以包括要实现的延迟目标或要遵守的资源分配,并与资源分配器和调度器(例如,线程调度器、内存分配器或带宽预留机制)交互以实现本地策略。控制器还提供关于他们执行策略的情况的反馈。Pulsar包括一个应用程序模型,它捕获资源敏感的行为和需求,并且独立于高级编程模型和应用程序编程接口。
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Pulsar: A resource-control architecture for time-critical service-oriented applications
The complexity of real-time systems is growing extremely rapidly, as they move from isolated devices to multilevel networked systems. Traditional methodologies for developing and managing these systems are not scaling to meet the requirements of a new generation of distributed applications. While developers of complex real-time applications are looking to service-oriented architecture to address their needs for ease of development and flexibility of integration, current software infrastructures for service-oriented applications do not address the issue of predictable latency for the applications they host. In this paper, we present Pulsar, a resource-control architecture for managing the end-to-end latency of a set of distributed, time-critical applications. The primary entity of Pulsar is called a controller, which regulates an aspect of resource allocation or scheduling policy. Controllers utilize policy configurations, which may include latency targets to be achieved or resource allocations to be honored, and interact with resource allocators and schedulers (e.g., thread schedulers, memory allocators, or bandwidth reservation mechanisms) to effect local policy. Controllers also provide feedback on how well they are executing a policy. Pulsar includes an application model which captures resource-sensitive behavior and requirements and is independent of high-level programming models and application programming interfaces.
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