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Supported functionality
• Upload Veda model folders (via GitHub)
• Synchronize
• Browse input data
• Veda Browse: Multi-select dimensions in a pivot grid
• Veda Items view: sets, topology and parameters for individual items
• Network view shows 5 levels
• Define and run cases
• Solved on local machines or the GAMS engine.
• KanORS servers could be an option in future.
• Results
• Reports
• Visualization features are more powerful than those in Veda2.0
Benefits of VO
• For individual users
• No software setup/updates needed
• Enforces version control discipline via GitHub
• Model synchronization and runs on state-of-the-art servers
• Availability of model input/output no longer dependent on local machines
• Far superior data visualization in Reports, Results, and Browse
• SANKEY diagrams and maps are easy to make
• A large number of cases can be accumulated on this platform. Input data
comparison possible for any two cases.
• Collaborative working
• Core team can work more efficiently by working with a shared GitHub folder
Proposal #1: VO for ETSAP partners
Benefits of VO
• Giving access to stakeholders and policy makers
• Model owners will be able to control the visibility of their models, by user.
• Give open access only to results.
• Control over the input/output being downloadable.
• Host open models
• Models will already be fully functional under VO. Users will be able to browse
input/output and look at results.
• More engaged users can create their own repos on GitHub, make incremental
changes, and run scenarios.
• Bulk runs
• Large number of scenarios could be run in the cloud – in parallel.
Budget
The Reports feature of Veda2.0 will be included in the ETSAP license
as a part of this proposal.
Collaborative development and deployment
Veda Model
Folder
Veda2.0
Veda Model
Folder
Veda2.0
Veda Model
Folder
Veda2.0
Queue
Worker 1
Worker 2
SYNC and SOLVE
Browse input and output
VO has a scalable Architecture
GAMS
+ CPLEX
Worker n
Database
server
Storage
Login screen
Veda online Registration
Anyone can create an account on Veda online
`
The home page – not logged in Input and output of public models can be browsed
without logging in
`
The home page – after logging in
▪ User “kanorsveda” should be granted access in order to
use a private Github repo
▪ Visibility of private models is under user control
Navigator - to refresh from Github and Synchronize models
Item detail view
Browse input data
Run manager Model owners can launch runs; solved on GAMS Engine (cloud)
Free Veda online for students
▪ Mild checks to make sure that users who are registering have an
academic email ID (students or teachers).
▪ It will support only public GitHub repositories, and the models
created on VO will also be public.
▪ So, all modelling activity performed on this platform dedicated to pedagogical
use will be open to all.
▪ A single cloud server will perform the runs, using open-source solvers.
Any run taking longer than 5 minutes will be terminated.
▪ This will automatically put a limit on the model size.
Proposal #2

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Veda online for ETSAP contracting parties

  • 1.
  • 2. Supported functionality • Upload Veda model folders (via GitHub) • Synchronize • Browse input data • Veda Browse: Multi-select dimensions in a pivot grid • Veda Items view: sets, topology and parameters for individual items • Network view shows 5 levels • Define and run cases • Solved on local machines or the GAMS engine. • KanORS servers could be an option in future. • Results • Reports • Visualization features are more powerful than those in Veda2.0
  • 3. Benefits of VO • For individual users • No software setup/updates needed • Enforces version control discipline via GitHub • Model synchronization and runs on state-of-the-art servers • Availability of model input/output no longer dependent on local machines • Far superior data visualization in Reports, Results, and Browse • SANKEY diagrams and maps are easy to make • A large number of cases can be accumulated on this platform. Input data comparison possible for any two cases. • Collaborative working • Core team can work more efficiently by working with a shared GitHub folder Proposal #1: VO for ETSAP partners
  • 4. Benefits of VO • Giving access to stakeholders and policy makers • Model owners will be able to control the visibility of their models, by user. • Give open access only to results. • Control over the input/output being downloadable. • Host open models • Models will already be fully functional under VO. Users will be able to browse input/output and look at results. • More engaged users can create their own repos on GitHub, make incremental changes, and run scenarios. • Bulk runs • Large number of scenarios could be run in the cloud – in parallel.
  • 5. Budget The Reports feature of Veda2.0 will be included in the ETSAP license as a part of this proposal.
  • 6. Collaborative development and deployment Veda Model Folder Veda2.0 Veda Model Folder Veda2.0 Veda Model Folder Veda2.0
  • 7. Queue Worker 1 Worker 2 SYNC and SOLVE Browse input and output VO has a scalable Architecture GAMS + CPLEX Worker n Database server Storage
  • 9. Veda online Registration Anyone can create an account on Veda online
  • 10. ` The home page – not logged in Input and output of public models can be browsed without logging in
  • 11. ` The home page – after logging in ▪ User “kanorsveda” should be granted access in order to use a private Github repo ▪ Visibility of private models is under user control
  • 12. Navigator - to refresh from Github and Synchronize models
  • 15. Run manager Model owners can launch runs; solved on GAMS Engine (cloud)
  • 16. Free Veda online for students ▪ Mild checks to make sure that users who are registering have an academic email ID (students or teachers). ▪ It will support only public GitHub repositories, and the models created on VO will also be public. ▪ So, all modelling activity performed on this platform dedicated to pedagogical use will be open to all. ▪ A single cloud server will perform the runs, using open-source solvers. Any run taking longer than 5 minutes will be terminated. ▪ This will automatically put a limit on the model size. Proposal #2