Logging kernel events on clusters

Abstract

We present tools for recording and analysing kernel events on Linux clusters. The tools provide cluster-wide event logging at system clock accuracy. We demonstrate the usefulness of our tools by verifying an implementation of a simple remote scheduling feature and present interesting results regarding schedule responsiveness. With our GUI-based Java application, data recorded on multiple hosts is integrated for visualization. These tools can be used for analysis of cluster schedulers such as gang schedulers, cooperative cacheing, network RAM drivers, or parallel file systems. © Springer-Verlag Berlin Heidelberg 2003.