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

Mohammad Alhowaidi, Byrav Ramamurthy, Brian Bockelman, David Swanson
June 2017
Cite DOI URL

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.

Type
Conference paper
Publication
2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS)
Internet Resource Allocation Protocols NDN Cache Storage Computer Architecture Large Hadron Collider Named Data Networking Servers Software Architecture Physics Computing In-Network Caching Software Content-Centric Networking File Organization Load Balancing Virtual Machines CERN Virtual Machine FIle System CVMFS Future Internet Architectures High-Energy Physics Software Information Retrieval IP/Host-Based System LHC Meterology
Byrav Ramamurthy
Byrav Ramamurthy
Professor & PI

My research areas include optical and wireless networks, peer-to-peer networks for multimedia streaming, network security and telecommunications. My research work is supported by the U.S. National Science Foundation, U.S. Department of Energy, U.S. Department of Agriculture, NASA, AT&T Corporation, Agilent Tech., Ciena, HP and OPNET Inc.