literature

Citations per year

20222023202401
Abstract: (EDP Sciences)
High Energy Physics (HEP) experiments rely on the networks as one of the critical parts of their infrastructure both within the participating laboratories and sites as well as globally to interconnect the sites, data centres and experiments instrumentation. Network virtualisation and programmable networks are two key enablers that facilitate agile, fast and more economical network infrastructures as well as service development, deployment and provisioning. Adoption of these technologies by HEP sites and experiments will allow them to design more scalable and robust networks while decreasing the overall cost and improving the effectiveness of the resource utilization.The primary challenge we currently face is ensuring that WLCG and its constituent collaborations will have the networking capabilities required to most effectively exploit LHC data for the lifetime of the LHC. In this paper we provide a high level summary of the HEPiX NFV Working Group report that explored some of the novel network capabilities that could potentially be deployment in time for HL-LHC.
Note:
  • Accepted for publication in CHEP 2019 proceedings
  • activity report
  • CERN LHC Coll
  • computer: network
  • site
  • Grid computing
  • data management
  • costs
  • performance
  • HEPiX-Team, , High-energy physics information exchange, Retrieved from / [accessed-07-19]
  • HEPiX NFV Working Group, Tech. rep
  • ACM Queue 14, 70
    • B. Burns
      ,
    • B. Grant
      ,
    • D. Oppenheimer
      ,
    • E. Brewer
      ,
    • J. Wilkes
  • Kubernetes | production-grade container orchestration
  • SLATE and the Mobility of Capability
    • R. Gardner
      ,
    • J. Breen
      ,
    • L. Bryant
      ,
    • S. McKee
  • A study of non-blocking switching networks , Vol. 32, pp. 406-424, ISSN 0005-8580
    • C. Clos
  • Architecture and prototype of a WLCG data lake for HL-LHC , Vol. 214, p. 04024
    • I. Bird
      ,
    • S. Campana
      ,
    • M. Girone
      ,
    • X. Espinal
      ,
    • G. McCance
    et al.
  • LHC Machine / Publishing,), Vol. 3, pp. S08001-S08001 / %2F3%2F08%2Fs08001
    • L. Evans
      ,
    • P. Bryant
  • SDN for end-to-end networking @ exascale, Retrieved from / [accessed-07-19]
    • I. Monga
  • Martelli Edoardo, Manzi Andrea, Keeble Oliver, Cass Tony, Busse-Grawitz Coralie, To appear in proceedings of CHEP, EPJ Web Conf. (2020)
  • BigData Express: Toward Schedulable, Predictable, and HighPerformance Data Transfer, in / /ACM Innovating the Network for Data-Intensive Science (INDIS) , pp. 75-84
    • Q. Lu
      ,
    • L. Zhang
      ,
    • S. Sasidharan
      ,
    • W. Wu
      ,
    • P. DeMar
    et al.
  • ESnet-Team, (Feb), Energy sciences network, Retrieved from / [accessed-07-19]
  • GEANT-Team, (Feb), GÉANT is the leading collaboration on e-infrastructure and services for research and education., Retrieved from
  • ESnet6: an entirely new software-driven network design that enhances the ability to rapidly invent, test, and deploy new innovations., Wikipedia, Retrieved from / #ESnet6
    • J. Metzger
  • FABRIC: A National-Scale / Programmable Experimental Network Infrastructure , Vol. 23
    • I. Baldin
      ,
    • A. Nikolich
      ,
    • J. Griffioen
      ,
    • I. Monga
      ,
    • K.C. Wang
    et al.
  • GEANT-Developers, (2019), D6.2 automation and orchestration of services in the GEANT community, Web document, Retrieved from / \hspace [accessed-07-19]
  • GEANT-Developers, , GÉANT testbeds service, Web Page, Retrieved from / [accessed-07-19]
  • LHCOPN and LHCONE: Status and Future
    • E. Martelli
      ,
    • S. Stancu
      • Evolution 664 (2015) 052025