Managing scientific data with named data networking

作者: Chengyu Fan , Susmit Shannigrahi , Steve DiBenedetto , Catherine Olschanowsky , Christos Papadopoulos

DOI: 10.1145/2832099.2832100

关键词:

摘要: Many scientific domains, such as climate science and High Energy Physics (HEP), have data management requirements that are not well supported by the IP network architecture. Named Data Networking (NDN) is a new architecture whose service model better aligned with needs of data-oriented applications. NDN provides features best-location retrieval, caching, load sharing, transparent failover would otherwise be painstakingly (re-)implemented each application using point-to-point semantics in an network.We present first designed implemented on top NDN. We use this to manage HEP over dedicated, high-performance, testbed. Our has two main components: UI for dataset discovery queries federation synchronized name catalogs. show how primitives can used implement common operations publishing, search, efficient publication access control.

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