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Move-To-Rear List Scheduling: a new scheduling algorithm for providing QoS guarantees

机译:移至后排列表调度:一种用于提供QoS保证的新调度算法

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In order to support multiple real-time applications on a single platform, the operating system must provide Quality of Service (QoS) guarantees so that the system resources can be provisioned among applications to achieve desired levels of predictable performance. The traditional QoS parameters include fairness, delay, and throughput. In this paper we introduce a new QoS criterion called cumulative service. The cumulative service criterion relates the total service obtained by a process under a scheduling policy to the ideal service that the process would have accumulated by executing on each resource at a reserved rate. We say that a scheuling policy provides a cumulative service guarantee if the performance of the real system differs from the ideal system by at most a constant amount. A cumulative service guarantee is vital for applications (e.g., a continous media file service) that require multiple resources and demand predictable aggregated throughput over all these resources. Existing scheduling algorithms that guarantee traditional QoS paramaters do not provide cumulative service guarantees. We present a new scheduling algorithm called Move-To-Rear List Scheduling which provides a cumulative service guarantee as well as the traditional guarantees such as fairness (proportional sharing) and bounded delay. The complexity of MTR-LS is O(ln(n)) where n is the number of processes.
机译:为了在单个平台上支持多个实时应用程序,操作系统必须提供服务质量(QoS)保证,以便可以在应用程序之间提供系统资源,以实现所需级别的可预测性能。传统的QoS参数包括公平性,延迟和吞吐量。在本文中,我们介绍了一种称为累积服务的新QoS标准。累积服务标准将进程在调度策略下获得的总服务与该进程通过以预留速率在每个资源上执行而应该积累的理想服务相关联。我们说,如果实际系统的性能与理想系统的差异最多保持恒定,那么调度策略将提供累积的服务保证。累积服务保证对于需要多个资源并要求在所有这些资源上具有可预测的聚合吞吐量的应用程序(例如,连续媒体文件服务)至关重要。保证传统QoS参数的现有调度算法无法提供累积的服务保证。我们提出了一种新的调度算法,称为“移动到后方列表调度”,它提供了累积服务保证以及传统保证,例如公平性(比例共享)和有界延迟。 MTR-LS的复杂度为O(ln(n)),其中n是进程数。

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