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CoBaS: Introducing a Component Based Scheduling Framework

机译:CoBaS:介绍基于组件的计划框架

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Many-Core systems and heterogeneous systems are getting more and more common and may soon enter the mainstream market. To harvest their capabilities to their full potential, the runtime system's scheduling policies have to be adapted and, in many cases, tailored to the specific system. The runtime system can be both an operating system or management infrastructure of an infrastructure as a service (IaaS) platform. Developing, implementing, and testing those scheduling policies is a challenging task in general. In this work we present CoBaS, a component based scheduling framework for multi and many-core runtime systems. The main purpose of CoBaS is the simplification of the scheduling policy implementation and an increased code reuse to save time during development. CoBaS uses a novel approach to reach that goal. It allows the breakdown of the policy implementation into several components that can be reused. Through composition, a fast prototyping, testing and evaluation of new scheduling policies is possible without implementing every functional part again. CoBaS uses an event based approach to distribute information about system states and state changes between the runtime system and components as well as between components themselves. Furthermore, it has a facility to hand over ordered task sets between components. We have adapted both the Linux and Free BSD kernel to use CoBaS by completely removing the native scheduler. The integration of CoBaS into those kernels shows the feasibility of our approach.
机译:多核系统和异构系统变得越来越普遍,并可能很快进入主流市场。为了充分发挥其功能,运行时系统的调度策略必须进行调整,在许多情况下,还必须针对特定系统进行调整。运行时系统可以是基础架构即服务(IaaS)平台的操作系统或管理基础架构。通常,开发,实施和测试那些调度策略是一项艰巨的任务。在这项工作中,我们介绍CoBaS,这是一种用于多核和多核运行时系统的基于组件的调度框架。 CoBaS的主要目的是简化调度策略的实现并增加代码重用,以节省开发时间。 CoBaS使用一种新颖的方法来实现该目标。它允许将策略实施分解为几个可重复使用的组件。通过组合,可以快速原型化,测试和评估新的调度策略,而无需再次实现每个功能部分。 CoBaS使用基于事件的方法在运行时系统和组件之间以及组件本身之间分配有关系统状态和状态更改的信息。此外,它还具有在组件之间移交有序任务集的功能。通过完全删除本机调度程序,我们使Linux和Free BSD内核都可以使用CoBaS。将CoBaS集成到这些内核中显示了我们方法的可行性。

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