Optimizing CMS build infrastructure via Apache Mesos

David Abdurachmanov, Alessandro Degano, Peter Elmer, Giulio Eulisse, David Mendez, Shahzad Muzaffar

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations


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 continuous 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.

Original languageEnglish (US)
Article number062013
JournalJournal of Physics: Conference Series
Issue number6
StatePublished - 2015
Event21st International Conference on Computing in High Energy and Nuclear Physics, CHEP 2015 - Okinawa, Japan
Duration: Apr 13 2015Apr 17 2015

All Science Journal Classification (ASJC) codes

  • General Physics and Astronomy


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