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Enhancing Scientific Collaboration with Virtual Data Facility Infrastructure

The Virtual Data Facility (VDF) aims to create an integrated, resilient computing model that promotes seamless access to data across various scientific communities, including HEP, BES, and more. This initiative focuses on improving scalability, performance, and interoperability while ensuring real-time connectivity and efficient data storage. By leveraging existing facilities like Argonne ALCF, Berkeley NERSC, and Oak Ridge OLCF, the VDF seeks to establish a collaborative environment for data processing and analysis. It will support exascale computing and foster innovation hubs while maintaining compliance with DOE policies for data retention and sharing.

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Enhancing Scientific Collaboration with Virtual Data Facility Infrastructure

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  1. Computing Infrastructure for Science On-Site Computing

  2. Model for Virtual Data Facility BER Community Projects HEP Community Projects BES Community Projects X Projects . . . Virtual Machine Common Access Layer Virtual Data Facility Common Access Layer VDF VDF VDF Argonne ALCF Berkeley NERSC Oak Ridge OLCF • ESnet

  3. Challenges and Goals of a DOE Data Facility • Availability: seamless cross-site resilient access • Scalability: in data volume • Velocity: real-time steering, processing and storage • Performance: multiple sites • Scalability: in size of user community • Interoperability across software and data sets • Usability: Consistent interfaces for building domain-specific services • Mobility (move data between facilities in & outside the complex) • Efficiency: maximize through economy of scale

  4. Virtual Cross-cutting Facility Upgrade • Leverage existing facilities as base • Creates a seamless facility for storing, analyzing, and sharing data • Built on a common data retention and sharing policy for DOE/SC user facilities Scale Up Exascale Program • Pre-exascale 2016 • Peak Exaflop 2020 • Sustained Exaflop 2024 Scale Out • Support Innovation Hubs/Centers • and Industry • Cluster/Clouds tailored to • domain specific innovation • Common scalable multi-institutional • collaboratoryenvironments • Common scalable remote • visualization and workflow • environments • Infrastructure • Shared file • and archive • Shared • authentication • Support DOE/SC • Experimental Facilities • Data storage • Serve data to • worldwide users • Data analysis & • visualization

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