LIRA

Abstract

Running multiple parallel programs on multi-socket multi-core machines using commodity hardware is increasingly common for data analytics and cluster workloads. These workloads exhibit bursty behavior and are rarely tuned to specific hardware. This leads to poor performance due to suboptimal decisions, such as poor choices for which programs run on the same socket. Consequently, there is a renewed importance for schedulers to consider the structure of the machine alongside the dynamic behavior of workloads.