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Evolution of the CMS Global Submission Infrastructure for the HL-LHC Era

Journal Article · · EPJ Web Conf.
 [1];  [2];  [3];  [4];  [5];  [5];  [2];  [6];  [2];  [3];  [3];  [2]
  1. Madrid, CIEMAT; PIC, Bellaterra
  2. Fermilab
  3. UC, San Diego
  4. NCP, Islamabad
  5. Notre Dame U.
  6. Vilnius U.
+ Show Author Affiliations
Efforts in distributed computing of the CMS experiment at the LHC at CERN are now focusing on the functionality required to fulfill the projected needs for the HL-LHC era. Cloud and HPC resources are expected to be dominant relative to resources provided by traditional Grid sites, being also much more diverse and heterogeneous. Handling their special capabilities or limitations and maintaining global flexibility and efficiency, while also operating at scales much higher than the current capacity, are the major challenges being addressed by the CMS Submission Infrastructure team. These proceedings discuss the risks to the stability and scalability of the CMS HTCondor infrastructure extrapolated to such a scenario, thought to be derived mostly from its growing complexity, with multiple Negotiators and schedulers flocking work to multiple federated pools. New mechanisms for enhanced customization and control over resource allocation and usage, mandatory in this future scenario, are also described.
Research Organization:
Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)
Sponsoring Organization:
USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25)
Contributing Organization:
CMS
DOE Contract Number:
AC02-07CH11359
OSTI ID:
1831889
Report Number(s):
FERMILAB-PUB-20-711-CMS; oai:inspirehep.net:1831509
Journal Information:
EPJ Web Conf., Journal Name: EPJ Web Conf. Vol. 245
Country of Publication:
United States
Language:
English

References (4)

Sharing server nodes for storage and computer journal January 2019
BOINC: A Platform for Volunteer Computing journal November 2019
Experience with dynamic resource provisioning of the CMS online cluster using a cloud overlay journal January 2019
Exploiting private and commercial clouds to generate on-demand CMS computing facilities with DODAS journal January 2019

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