Speaker
Mr
Giulio Eulisse
(Fermi National Accelerator Lab. (US))
Description
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 an 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.
Primary author
Mr
Giulio Eulisse
(Fermi National Accelerator Lab. (US))
Co-authors
Alessandro Degano
(Universita e INFN (IT))
David Abdurachmanov
(Vilnius University (LT))
David Gonzalo Mendez Lopez
(Universidad de los Andes (CO))
Dr
Peter Elmer
(Princeton University (US))
Shahzad Malik Muzaffar
(Fermi National Accelerator Lab. (US))
