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Values & Vision - Cloud Sandboxes for BIG Earth Sciences
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Values & Vision - Cloud Sandboxes for BIG Earth Sciences


Terradue is now engaging in the race for developing innovative solutions that aim at better prepared people for the new digital, computational science era

Terradue is now engaging in the race for developing innovative solutions that aim at better prepared people for the new digital, computational science era

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  • 1. Values & Vision! ! Cloud Services for BIG Earth Sciences Hervé Caumont Program Manager
  • 2. About us •  An Italian SME based in Rome, created in 2006 as a European Space Agency (ESA) spin-off •  A UK subsidiary opened in 2011, based in the Innovations Technology Access Center - Space Cluster (Harwell Oxford, I-TAC) •  Experienced team: 11 members of 5 different nationalities! most have worked for several years in the European Space Agency
  • 3. Our mantra : ‘digital earth scalers’ Develop innovative solutions that aim at better prepared people for the new digital, computational science
  • 4. it’s a job WHAT WE DO
  • 6. Global Data Archives – our playground 10’s terabytes of earth observation data 10,000’s of registry entries 10’s millions of records
  • 7. We leverage & contribute
  • 8. our users ARE RESEARCHERS
  • 9. Markets & Services Connect scientists to the Web and Cloud resources that can empower their research Forward Horizon 2020 & Copernicus 2008-2014 EC FP7 projects 2006 ESA G-POD The European Earth Observation Programme Cloud & Linked Data for earth sciences Grid-Processing on Demand
  • 10. Why us ? Stimulate new scientific applications development Integrate capacities in a multimission setting Adapt to upcoming increasing data volumes Deliver new products for decision-aid Market on-demand services, through one-stop-shops Open Web & Cloud Computing technologies can innovate the way Earth Sciences researchers work & share.
  • 11. A changing IT economy Infrastructure / Platform / Software Commodities provided as a Service The economics of cloud computing are driving down the cost structure of business so far and so fast that it s scary Google CIO, May 2012 There is a potential community of ~50.000 independent software vendors in the EU which require new ways to offer solutions and services EC Experts Group, March 2012
  • 12. New services Data as a Service •  Create Data Marketplaces •  Leverage Linked Open Data (LOD) •  Design for data quality & traceability from the start Processors (software) as a Service •  Sell usage right at low cost units (pay-as-you-go) •  Provide entry-level online presence •  Design for usage monitoring from the start
  • 13. today WHAT WE BUILD
  • 14. A platform for scientists Share data access points & processing chains Collaborate across distributed Platforms delivered as a service Streamline web and cloud APIs Leverage computing clusters
  • 15. Concept of operation Commodity Providers -  Elastic Cloud Computing -  Large storage -  High bandwidth network DevOps Team -  Service Provisioning & Monitoring -  Data Provisioning -  Virtual appliances maintenance Partners Users -  Application Engineering -  Software-as-a-Service -  Open Collaborative Developments
  • 16. New development cycles Python, CDAT, R, BEAM, BEAT •  Scientific developers use Cloud Sandboxes to ! implement, test and validate algorithms •  Includes tools for data discovery, parallelization, and results validation
  • 17. Cloud Compute deployments •  After validation, researchers deploy algorithms to a selected Cloud Infrastructure •  Deployed Processor as a Service access complete pools of datasets,! run application ! intensive computing, ! and store processor ! outputs back to the lab
  • 18. next steps BIG DATA ANALYTICS
  • 19. Platform engine: swarming Open Science – A Future Vision •  Rapid deployment of data and processors •  Quality-driven aggregations of sensor feeds and earth models •  Scalable services providing cost-effectiveness •  Scientific information velocity
  • 20. Platform gears: analytics What does it take for a Cloud Sandbox developer to test a job chaining ? What are the data needed for an area of interest at a given time span ? What are the data archive gaps compared to the platform usages ? … Analytics can answer such questions, from assets such as: •  Volume of information generated from the platform user logs, sandbox trials, platform searches and tickets issuing, website browsing patterns, login counts… •  Volume of information available from open data on the Web, within OpenSearch catalogs, scientific blogs, twitter feeds, stack overflow posts •  …
  • 21. Platform gears: human resources Know these jobs ? Come talk with us about how you see the future ! Data Scientist -  dig into data deluge resources -  assess opportunities with business management -  develop algorithms to find patterns and correlations -  link back insight to our DevOps team to prioritize sprints Marketing Specialist -  help build customer dashboards in the platform -  help management to make faster strategic decisions -  communicate towards customer prospects on our innovations
  • 22. WITH THANKS Hervé Caumont Program Manager, Terradue