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DOE UltraScience Net

DOE UltraScience Net. The Need DOE large-scale science applications on supercomputers and experimental facilities require high-performance networking Petabyte data sets, collaborative visualization and computational steering

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DOE UltraScience Net

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  1. DOE UltraScience Net The Need • DOE large-scale science applications on supercomputers and experimental facilities require high-performance networking • Petabyte data sets, collaborative visualization and computational steering • Application areas span the disciplinary spectrum: high energy physics, climate, astrophysics, fusion energy, genomics, and others Promising Solution • High bandwidth and agile network capable of providing on-demand dedicated channels: multiple 10s Gbps to 150 Mbps • Protocols are simpler for high throughput and control channels Challenges: Several technologies need to be (fully) developed • User-/application-driven agile control plane: • Dynamic scheduling and provisioning • Security – encryption, authentication, authorization • Protocols, middleware, and applications optimized for dedicated channels Contacts: Bill Wing (wrw@ornl.gov) Nagi Rao (raons@ornl.gov)

  2. DOE UltraScience Net Connects Atlanta, Chicago, Seattle and Sunnyvale: • Dynamically provisioned dedicated dual 10Gbps SONET links • Proximity to several DOE locations: SNS, NLCF, FNL, ANL, NERSC • Peering with ESnet, NSF CHEETAH and other networks Atlanta Data Plane User Connections: Direct connections to: core switches –SONET & 10GgigE channels MSPP – Ethernet channels Utilize UltraScience Net hosts Atlanta • Funded by U. S. DOE • High-Performance Networking Program • at Oak Ridge National Laboratory • – $4.5M for 3 years

  3. Control-Plane • Phase I • Centralized VPN connectivity • TL1/CLI-based communication with core switches and MSPPs • User access via centralized web-based scheduler • Phase II • GMPLS direct enhancements and wrappers for TL1 • User access via GMPLS and web to bandwidth scheduler • Inter-domain GMPLS-based interface Bandwidth Scheduler • Computes path with target bandwidth • Is bandwidth available now? • Extension of Dijkstra’s algorithm • Provide all available slots • Extension of closed semi ring structure to sequences of reals • Both are polynomial-time algorithms • GMPLS does not have this capability Web-based User Interface and API • Allows users to logon to website • Request dedicated circuits • Based on cgi scripts

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