Download PDFNamed Data Networking in Climate Research and HEP Applications
by S. Shannigrahi, A. Barczuk, C. Papadopoulos, A. Sim, I. Monga, H. Newman, J. Wu, and E. Yeh.
21st International Conference on Computing in High Energy and Nuclear Physics (CHEP2015), Okinawa Japan, April 2015.
The Computing Models of the LHC experiments continue to evolve from the simple hierarchical MONARC model towards more agile models where data is exchanged among many Tier2 and Tier3 sites, relying on both strategic data placement, and an increased use of remote access with caching through CMS’s AAA and ATLAS’ FAX projects, for example. The challenges presented by expanding needs for CPU, storage and network capacity have pointed the way towards future more agile pervasive models that make best use of highly distributed heterogeneous resources. In this paper, we explore the use of Named Data Networking (NDN), a new Internet architecture focusing on content rather than the location of the data collections. As NDN has shown
considerable promise in another data intensive field, Climate Science, we discuss the similarities and differences between the Climate and HEP use cases, along with specific issues HEP faces and will face during LHC Run2 and beyond, which NDN could address.