How cloud computing can accelerate your research. Presentation given at Moscow State University on 19th May 2015.
Apply for Azure for Research Awards at http://research.microsoft.com/en-US/projects/azure/awards.aspx
4. X-Info
• Data ingest
• Managing a petabyte
• Common schema
• How to organize it
• How to reorganize it
• How to share with others
• Query and Vis tools
• Building and executing models
• Integrating data and Literature
• Documenting experiments
• Curation and long-term
preservation
The Generic Problems
Experiments &
Instruments
Simulations
Literature
Other Archives
facts
facts
facts
facts
Questions
Answers
18. Parker MacCready: Univ. of Washington
Rob Fatland:, Wenming Ye, Nels Oscar, Microsoft Research
19.
20. Modeling Workflow
Forcing Data
Processed into
Standard Format
Output
MODEL
Model-specific
Forcing Files
Raw Forcing
Data
Observations
Processed into
Standard Format
SKILL TESTRaw Observational
Data
Skill
Result
ROMS
Cluster
200 cores
1 week/year
2 TB
per model year
Standard
Post Processing
1 week
21. LiveOcean: Hybrid Architecture
HPC
linux 150 cores
Forecast
NetCDF files
LiveOcean
Server
• Post Processing
• Pre-make .png “views”
• Archive NetCDF files
• API for web sites
• Admin.js
• Client.js
Blob Storage:
Forecast Copy
Science User
pythonAzure Table:
Log Info
Admin
Website
Client Website
http://mappable.azurewebsites.
net/liveocean/
Rivers
USGS
Atmosphere
UW WRF
Ocean
HYCOM
30. “The Azure for Research programme has helped
the Marine Institute and our research partners
understand how cloud computing can be used to
advance collaborative marine research including
by making on-demand compute and advanced
analytical data services much more easily
available to virtual research teams.”
Eoin O’Grady, Information Services and Development Manager,
Marine Institute (Ireland)
31.
32. British Library Labs cloud
analysis of digital catalogues,
including 19th Century books
scanned by Microsoft.
@MechCuratorBot
mechanicalcurator.tumblr.com
33.
34. RaaS
SaaS
PaaS
IaaS
Cloud Services
Research collaboration and data
lifecycle services
Data management, application
services, collaboration tools.
Programming abstractions,
database support, runtime
systems
Virtual machines, reliable
storage, provisioning tools,
network bandwidth
Research
Marketplace
Analytics services and expert
consulting
Domain specific applications
and data access
Advanced development tools
and libraries to SaaS
developers
Specially configured virtual
machine templates
36. Use laptops &
desktop computers
Overwhelmed by
data
Finding analysis
ever more difficult;
sharing even
harder
www.azure4research.com
37. Azure for Research Russia Special Awards
• 250,000 compute hours, 20TB storage,
machine learning, NoSQL and more…
• Apply by 15 Aug’15 at
http://aka.ms/azureresearchrussia