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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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Values & Vision!!Cloud Services for BIG Earth Sciences
Hervé Caumont�Program Manager
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
Our mantra : ‘digital earth scalers’
Develop innovative solutions that aim at better prepared people for the new digital,
computational science
WHAT WE DO it’s a job
A P I E V E R Y W H E R E
Global Data Archives – our playground
10’s terabytes of earth observation data 10,000’s of registry entries 10’s millions of records
We leverage & contribute
ARE RESEARCHERS our users
Markets & Services
ESA G-POD http://gpod.eo.esa.int/���
EC FP7 projects
Horizon 2020 & Copernicus
Cloud & Linked Data for earth sciences
The European Earth Observation Programme
Grid-Processing on Demand
Connect scientists to the Web and Cloud resources that can empower their research
2006
2008-2014
Forward
Stimulate new scientific applications development Integrate capacities in a multi-mission setting Adapt to upcoming increasing data volumes Deliver new products for decision-aid Market on-demand services, through one-stop-shops
Why us ?
Open Web & Cloud Computing technologies can innovate the way Earth Sciences researchers work & share.
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
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
WHAT WE BUILD today
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
Commodity Providers - Elastic Cloud Computing - Large storage - High bandwidth network
DevOps Team - Service Provisioning & Monitoring - Data Provisioning - Virtual appliances maintenance
Partners - Application Engineering - Software-as-a-Service - Open Collaborative Developments
Users
Concept of operation
New development cycles
• Scientific developers use Cloud Sandboxes to !implement, test and validate algorithms
• Includes tools for data discovery, parallelization, and results validation
Python, CDAT, R, BEAM, BEAT
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
BIG DATA ANALYTICS next steps
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
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
• …
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
