NLANR is a collaboration of the National Center for Supercomputing Applications (NCSA) at the University of Illinois at Urbana-Champaign; the Pittsburgh Supercomputing Center (PSC); the National Center for Atmospheric Research (NCAR); and the San Diego Supercomputer Center (SDSC). The partnership helps more than 170 NSF-funded High-Performance Connections sites connect to and use high- performance research network backbones like NSF's vBNS (very high performance Broadband Network Services).
NLANR develops software to help scientific users and network administrators, while designing analytical tools to help networks run smoothly. The NLANR staff works with researchers and staff at small- to mid-sized campuses and with commercial service providers, resulting in a broad impact on the networking and application communities. The award will be divided among the following three NLANR program teams:
The Distributed Applications Support team at the NCSA. This team helps researchers maximize performance of their distributed applications. The team works on networked applications that are computationally intensive, including distributed data mining and shared multimedia collaborative environments. The staff delivers training sessions around the country and demonstrate NLANRdeveloped tools such as Iperf, Netlog, and Viznet.
The Engineering Services Team, a collaboration between the PSC and NCAR. This team provides engineering support for the integration and use of advanced network services between commercial providers and campus infrastructures, while optimizing end-to-end performance for applications over this integrated environment. NLANR network engineers also develop tools, such as Traffic Analysis and Automatic Diagnosis (TAAD), to help improve network performance. The team offers the NLANR On-Site program that provides courseware and hands-on training tailored for network engineers and disciplinary scientists.
The Measurement And Network Analysis Team, based at SDSC. This team has created a network-analysis infrastructure by deploying both active and passive measurement devices at more than 100 locations across the networks. The team's products include statistical tools for analyzing and visualizing traffic patterns. Working with performance and flow measurements, the staff use packet information to develop service models and measure network efficiency.