Title
Optimizing Cms Build Infrastructure Via Apache Mesos
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 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.
Year
DOI
Venue
2015
10.1088/1742-6596/664/6/062013
21ST INTERNATIONAL CONFERENCE ON COMPUTING IN HIGH ENERGY AND NUCLEAR PHYSICS (CHEP2015), PARTS 1-9
Field
DocType
Volume
Large Hadron Collider,Resource isolation,Spark (mathematics),Computer science,Homogeneous,Real-time computing,Software,Continuous integration,Dynamic priority scheduling,Operating system,Distributed computing
Journal
664
Issue
ISSN
Citations 
6
1742-6588
0
PageRank 
References 
Authors
0.34
2
6
Name
Order
Citations
PageRank
David Abdurachmanov172.53
alessandro degano200.34
p elmer311.79
g eulisse400.68
David Gil5223.46
shahzad muzaffar600.34