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The case for using content-centric networking for distributing high-energy physics software
Mohammad Alhowaidi, Byrav Ramamurthy, Brian Bockelman and David Swanson
University of Nebraska-Lincoln, University of Nebraska-Lincoln, University of Nebraska-Lincoln, University of Nebraska-Lincoln

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. In this paper, we investigate the possibilities of using a contentcentric networking architecture such as NDN on distributing CMS software.