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arXiv · 1507.07429

Optimizing CMS build infrastructure via Apache Mesos

David Abdurachmanov·Alessandro Degano·Peter Elmer·Giulio Eulisse·David Mendez·Shahzad Muzaffar
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Abstract

The Offline Software of the CMS Experiment at the Large Hadron Collider (LHC) at CERN consists of 6M lines of in-house code, developed over a decade by nearly 1000 physicists, as well as a comparable amount of general use open-source code. A critical ingredient to the success of the construction and early operation of the WLCG was the convergence, around the year 2000, on the use of a homogeneous environment of commodity x86-64 processors and Linux. Apache Mesos is a cluster manager that provides efficient resource isolation and sharing across distributed applications, or frameworks. It can run Hadoop, Jenkins, Spark, Aurora, and other applications on a dynamically shared pool of nodes. We present how we migrated our continuos integration system to schedule jobs on a relatively small Apache Mesos enabled cluster and how this resulted in better resource usage, higher peak performance and lower latency thanks to the dynamic scheduling capabilities of Mesos.

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David Abdurachmanov, Alessandro Degano, Peter Elmer, Giulio Eulisse, David Mendez, Shahzad Muzaffar. 2015-07-20. Optimizing CMS build infrastructure via Apache Mesos. https://doi.org/10.1088/1742-6596/664/6/062013

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