The X-flex cross-platform scheduler: who's the fairest of them all?

J. Wolf, Zubair Nabi, V. Nagarajan, Robert A. Saccone, R. Wagle, Kirsten Hildrum, E. Pring, Kanthi Kiran Sarpatwar
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引用次数: 6

Abstract

We introduce the X-Flex cross-platform scheduler. X-Flex is intended as an alternative to the Dominant Resource Fairness (DRF) scheduler currently employed by both YARN and Mesos. There are multiple design differences between X-Flex and DRF. For one thing, DRF is based on an instantaneous notion of fairness, while X-Flex monitors instantaneous fairness in order to take a long-term view. The definition of instantaneous fairness itself is different among the two schedulers. Furthermore, the packing of containers into processing nodes in DRF is done online, while in X-Flex it is performed offline in order to improve packing quality. Finally, DRF is essentially an extension to multiple dimensions of the Fair MapReduce scheduler. As such it makes scheduling decisions at a very low level. X-Flex, on the other hand, takes the perspective that some frameworks have sufficient structure to make higher level scheduling decisions. So X-Flex allows this, and also gives platforms a great deal of autonomy over the degree of sharing they will permit with other platforms. We describe the technical details of X-Flex and provide experiments to show its excellent performance.
X-flex跨平台调度器:谁是最公平的?
我们将介绍X-Flex跨平台调度器。X-Flex旨在替代YARN和Mesos目前使用的主导资源公平(DRF)调度程序。X-Flex和DRF在设计上有很多不同。首先,DRF是基于瞬时公平性的概念,而X-Flex监控瞬时公平性是为了长远考虑。在两个调度程序中,瞬时公平性本身的定义是不同的。此外,DRF中的容器打包到处理节点是在线完成的,而X-Flex中的打包是离线进行的,以提高打包质量。最后,DRF本质上是Fair MapReduce调度器的多维扩展。因此,它在非常低的级别上做出调度决策。另一方面,X-Flex认为某些框架具有足够的结构来做出更高级别的调度决策。因此,X-Flex允许这一点,并且在允许与其他平台共享的程度上给予平台很大的自主权。我们描述了X-Flex的技术细节,并提供了实验来证明它的优异性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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