1. VHIRL: Virtual Hazard Impact and Risk Laboratory – “A reuse story”
Ryan Fraser
eResearch 2014: VL Reusability
CSIRO | digital productivity flagship

2. Components of a Virtual Laboratory
Data Services
Toolboxes
Compute Services
Enablers
Virtual Laboratory
VLs are like puzzles that you put together using bits.....
You can even use the bits that Jess has just spoken about to construct a “workflow” or process.
Essentially a WORKFLOW engine
IDEA – EXPERIMENT – KNOWLEDGE
bring together data, processing and compute services for the research community
Extendable framework
Allows the “publication”/sharing of workflows
Leads to acquisition of new, timely knowledge
From My Science to Sharing My Science to Sharing Knowledge
No longer a ‘personal notebook’ -> reproducible science
Communities beyond organisational boundaries

3. Components of the Virtual Geophysics Laboratory
Data Services
Toolboxes
Compute Services
Enablers (OGC, Provenance)
Dynamic Virtual Geophysics Laboratories
Org. Cloud
Mag.
Grav.
VGL Portal
Service Orchestration
Petascale
Compute
Magnetics
eScript
eScript
DEM
Org. Cloud
VGL Portal
Scripting Tool
Gravity
Org. Cloud
Underworld
Mag.
Grav.
NeCTAR Cloud
Provenance Metadata
DEM
VGL Portal
Petascale
Compute
Underworld
Amazon Cloud
Desktop

4. Repurposing to a Virtual Hazards Laboratory (VHIRL)
Data Services
Toolboxes
Compute Services
Enablers (OGC, Provenance)
Dynamic Virtual Hazards Laboratories
Unchanged
Petascale
Mag.
Grav.
VHIRL Portal
Service Orchestration
Petascale
Magnetics
ANUGA
eScript
DEM
Org. Cloud
VHIRL Portal
Scripting Tool
Gravity
Org. Cloud
eScript
Bathy
DEM
NeCTAR Cloud
Provenance Metadata
DEM
VHIRL Portal
VHIRL is a repurposing of VGL for Natural Hazard researchers
Amazon Cloud
Amazon Cloud
Landsat
ANUGA
Bathymetry
Desktop

5. VLs: lightweight frontend, powerful services
VHIRL is a client for connecting researchers to:
Data
Scientific codes/algorithms
Cloud compute and storage resources
Each other
VHIRL is focusing on answering these questions:
What data is available?
How do I get it?
How may I process the data?
Where can I perform the processing?
Where can I store my results?
How do I capture and then reproduce this process?
Data is published using open standards to a registry.
Some service support data format conversion, sub-setting, reprojection,...
- Prefer OGC and similar standards but can be just flat files

6. <live demo of VHIRL!>

7. VLs lead to Knowledge
VHIRL, brings together data, processing and compute services for the natural hazards research community
Extendable framework
Allows the “publication” of process used to create results (Provenance)
Allows sharing of scientists workflow (Scientific Code Marketplace)
Leads to acquisition of new, timely knowledge

8. Ryan Fraser Research Manager t +61 8 6436 8760 e ryan.fraser@csiro.au w
CSIRO