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OOI-CI & IOOS-DMAC Intersection Project FY2010. OOI Overview. OOI Deployment Locations. Pioneer Array is relocatable , will spend 5 years in Mid Atlantic Bight. For more i nfo: Google “OOI” Attend OOI Science Meeting Apr 29-30 in Tempe, AZ. Ocean Observatories Initiative.
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OOI Deployment Locations Pioneer Array is relocatable, will spend 5 years in Mid Atlantic Bight • For more info: • Google “OOI” • Attend OOI Science Meeting Apr 29-30 in Tempe, AZ
Ocean Observatories Initiative • Three components of Ocean Infrastructure funded by NSF and administered by Consortium for Ocean Leadership (COL), PD:Tim Cowles • Global and Coastal (PI:Bob Weller, PM:Libby Signell, WHOI) • Regional (PI:John Delaney, PM:) • Cyberinfrastructure (PI:JohnOrcutt, PM:MatthewArrott, UCSD) • Planning starting in Jan 2007, project started in Sep 2009, award $386M over 5 years, $30M for CI, 25 year life expectancy
OOI Scientific Investigation Science Activity Model (Mar 2011 end)
OOI CI Data Management • Service-Oriented Architecture • Message-based Communication (via the Exchange)
Serving Ocean Model Data on the Cloud M. Meisinger, C. Farcas, E. Farcas, C. Alexander, M. Arrott, J. de La Beaujardière, P. Hubbard, R. Mendelssohn, R. Signell IEEE/MTS Oceans09 Biloxi October 29, 2009
OOI – IOOS/DIF Collaboration • Collaboration Projects • Data Distribution Network Prototype (ERDDAP) • Data Exchange Prototype • Duration • ERDDAP/DDN Prototype: Sept 2008 – Jan 2009 • Data Exchange: March 2009 – March 2010 • Data Exchange Purpose • Create an operational, community usable “Data Exchange” prototype combining a dataset catalog and server-side processing engine as infrastructure • Deploy on elastic resources in the Amazon cloud
Cloud Computing • Infrastructure as a Service • Compute Nodes • Storage • Present resources as infinite • Advantages • No capitalization of compute infrastructure • No operations of compute infrastructure • Very useful in development phase and during peak load • Easy to use, proven, quick turn around • Disadvantages • Higher costs during the operations phase • Reduced control of data, location, authority, security etc. • Existing Clouds • Commercial clouds: “Pay per use” and “allocation” model • Examples: Amazon EC2/EBS, Microsoft Azure, Google AppEngine etc.
Example Tasks from Workplan • 2C. Categorize the modelers data list based on source (GTS, IDD, SOS, ftp)(Lead: Rich Signell) • 3A. Establish a relationship between OOI-CI and someone with access to the GTS / IDD.(Lead: Charly Alexander) • 3C. Conversion capability to get data from IDD into internal OOI-CI messages(Lead: OOI-CI integration team)
Regional Involvement Feedback on this plan Plan to brief NRFA Modeling Committee regularly Wilkin (MARCOOS) has been identified as an ideal end-user modeler for participation (tech savvy, heavy data assimilation) We would like to add two others, perhaps Brian Powell (PACIOOS), Yi Chao (SCOOS)