The Case for Using Content-Centric Networking for Distributing High-Energy Physics Software

Mohammad Alhowaidi, Byrav Ramamurthy, Brian Bockelman, David Swanson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

Named Data Networking (NDN) is one of the promising future internet architectures, which focuses on the data rather than its location (IP/host-based system). NDN has several characteristics which facilitate addressing and routing the data: fail-over, in-network caching and load balancing. This makes it useful in areas such as managing scientific data. The CMS experiment on the Large Hadron Collider (LHC) has a data access problem amenable to content-centric networking. CERN Virtual Machine File System (CVMFS) is used by High Energy Physics (HEP) community for worldwide software distribution. CVMFS maintain its data by using content-addressable storage, which makes it suitable for NDN. n this paper, we investigate the possibilities of using a content-centric networking architecture such as NDN on distributing CMS software.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE 37th International Conference on Distributed Computing Systems, ICDCS 2017
EditorsKisung Lee, Ling Liu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2571-2572
Number of pages2
ISBN (Electronic)9781538617915
DOIs
StatePublished - Jul 13 2017
Event37th IEEE International Conference on Distributed Computing Systems, ICDCS 2017 - Atlanta, United States
Duration: Jun 5 2017Jun 8 2017

Publication series

NameProceedings - International Conference on Distributed Computing Systems

Other

Other37th IEEE International Conference on Distributed Computing Systems, ICDCS 2017
CountryUnited States
CityAtlanta
Period6/5/176/8/17

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'The Case for Using Content-Centric Networking for Distributing High-Energy Physics Software'. Together they form a unique fingerprint.

  • Cite this

    Alhowaidi, M., Ramamurthy, B., Bockelman, B., & Swanson, D. (2017). The Case for Using Content-Centric Networking for Distributing High-Energy Physics Software. In K. Lee, & L. Liu (Eds.), Proceedings - IEEE 37th International Conference on Distributed Computing Systems, ICDCS 2017 (pp. 2571-2572). [7980237] (Proceedings - International Conference on Distributed Computing Systems). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDCS.2017.295