Leveraging Distributed Research Cloud Infrastructures for Domain Science Research and Experimentation Anirban Mandal, Cong Wang, Paul Ruth, Komal Thareja (RENCI, UNC – Chapel Hill) Ewa Deelman, George Papadimitriou (USC/ISI) Michael Zink, Eric Lyons (UMass Amherst) Ivan Rodero, J. J. Villalobos (Rutgers University) Funded by the National Science Foundation Grant #1826997 Drew Angerer, Getty Images Open Cloud Workshop, Boston University, March 2020
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Leveraging Distributed Research Cloud Infrastructures for ... · XSEDE JetStream, MOC. • Network-centric platform to bridge the abstraction gap. • Data-aware scheduling in Workflow
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Leveraging Distributed Research Cloud Infrastructures for Domain Science Research and Experimentation
• Network-centric platform to bridge the abstraction gap.
• Data-aware scheduling in Workflow Management Systems (Pegasus).
• Deploy solutions for use in observational science communities - CASA and OOI.
Major challenge is integration of data CI to science workflows: data movement across diverse infrastructure, complex workflows, distributed repositories, and elastic application compute/storage/network requirements.
Multi-cloud Provisioning and Network Orchestration
• Resource requirements from applications are generated using a Gantt chart abstraction
• Mobius network-centric platform• Multi-cloud provisioning of compute and
storage resources• Layer 2 network provisioning• Resource monitoring and control• https://github.com/RENCI-NRIG/Mobius• Exposes a REST API for Applications and