1.0Microsoft Researchhttps://www.microsoft.com/en-us/researchSriram Raohttps://www.microsoft.com/en-us/research/people/sriramra/Cluster Resource Management - Microsoft Researchrich600338<blockquote class="wp-embedded-content" data-secret="ySouZLZK3p"><a href="https://www.microsoft.com/en-us/research/project/cluster-resource-management/">Cluster Resource Management</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/project/cluster-resource-management/embed/#?secret=ySouZLZK3p" width="600" height="338" title="“Cluster Resource Management” — Microsoft Research" data-secret="ySouZLZK3p" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript">
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We are focused on building a scale-out, predictable, resource management substrate for big-data workloads. To this end, we started with providing predictable allocation SLOs for jobs that have completion time requirements, and then focused on improving cluster efficiency. Using Apache Hadoop YARN as the base, we have built a scale-out fabric by composing the following […]