BUCKNELL S SCIENCE DMZ

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Arleen McBride
5 years ago
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1 BUCKNELL S SCIENCE #Bisonet Param Bedi VP for Library and Information Technology Principal Investigator

2 Initial Science Design Process Involving Bucknell faculty researchers Library and Information Technology Digital Pedagogy and Scholarship Identified Issues included Known challenges with transferring and working with files especially for students Opportunities to share files securely with external third parties Prepare for increasingly larger data sets (up to 20 Tb) Proposed Solution Co-located primary research assets in new Science Provided for simple transfer capabilities with GridFTP/Globus

3 Where are we now? Finalizing design and capabilities focused on data management Likely 40 Gbps Science Design supporting co-location of research environments Tiered storage management designed to facilitate data management and collaboration between researchers and the cloud GridFTP / Globus for external collaboration Swift Object Storage for research file storage and data management Elastifile for management of cloud storage needs Additional High Performance Compute capabilities to meet growing needs Identifying opportunities for better use of hardware during idle periods (typically school year) Investigating deploying Virtual Desktop Infrastructure (VDI) in Science Working with selected vendor to leverage outside expertise (Cisco) Four node PerfSonar deployment for performance measurement

Aggregation Switch NSF Campus Cyberinfrastructure PI and Cybersecurity Innovation for Cyberinfrastructure PI Workshop October 3-4, 2017 Albuquerque, NM Quad Chart for: The Bucknell Science Network

4 Aggregation Switch NSF Campus Cyberinfrastructure PI and Cybersecurity Innovation for Cyberinfrastructure PI Workshop October 3-4, 2017 Albuquerque, NM Quad Chart for: The Bucknell Science Network Design and Implementation (BISONet Bucknell Integrated Scholarly Optical Network) Challenges: Data movement: Create a high-speed, internally and externally integrated network for research and learning Data Management: Integrate a Data Transfer Node, HPCC, other dataintensive systems (GIS), and non-nas storage options into the design Resource Constraints: Enable greater flexibility through cloud options Deliverables: Dedicated 40 Gb Science Network Data driven design in support of research needs Cloud expandability Reduction of Network Attached Storage (NAS) devices VDI services in research ARC-GIS HPCC SAN GRIDFTP (GLOBUS) Extended Lab Switch Remote Labs Science Science ASR1002-HX FW Core ASR1002-HX FW Core EXISTING BUCKNELL NETWORK KINBER (Internet & I2) Broader Impact: Improvements for student centered research opportunities Improved foundation for data management plans Improved opportunities for internal and external collaboration Metadata tag: #BISONet KINBER.org Geisinger.org

Science Goal: create a high-speed, independent network for research Cisco Components: Nexus (switch), ASR (route), UCS-C (DTN) Other Components: Globus, perfsonar Benefits Research traffic no longer

5 Science Goal: create a high-speed, independent network for research Cisco Components: Nexus (switch), ASR (route), UCS-C (DTN) Other Components: Globus, perfsonar Benefits Research traffic no longer competes with general traffic Security restrictions will not slow data and research Internal and external collaboration will be faster and easier Object Storage Goal: Centralize and consolidate disparate storage and backup Cisco Components: UCS-S (storage server) Other Components: SwiftStack Benefits Cost-effective storage for second-tier research storage Back-up and archive target for business/academic systems Built-in redundancy and resiliency to mitigate DR risk HPC/Research Computing Goal: improve performance for research compute resources Cisco Components: UCS-B (CPU cluster), UCS-C (GPU/storage cluster) Other Components: Elastifile, Bright (Cluster Management) Benefits: Higher performance file/storage IO Faster access to large datasets (EX: for in-class use) GPU-enabled research (EX: machine learning) Virtual Desktop Infrastructure Goal: deliver flexible access to research, resources and applications Cisco Components: HyperFlex Other Components: VMware Horizon View Benefits: Convert additional, seasonal resources to HPC Deliver remote access to desktops or certain applications Implementation will help assess future VDI use cases

Improving Network Infrastructure to Enable Large Scale Scientific Data Flows and Collaboration (Award # ) Klara Jelinkova Joseph Ghobrial

Improving Network Infrastructure to Enable Large Scale Scientific Data Flows and Collaboration (Award # 1659348) Klara Jelinkova Joseph Ghobrial NSF Campus Cyberinfrastructure PI and Cybersecurity Innovation