1. EGI-Engage: Final Review Giuseppe La Rocca
Turning applications into reusable services – The EGI Applications On Demand Service experience
Giuseppe La Rocca
Technical Outreach Expert
EGI Foundation

2. The EGI Applications on Demand service
A scalable platform to share and reuse scientific applications ‘as elastic services’
User-friendly registration and access interfaces
Tools to port and share new applications
Distributed support for end-users and application integrators
Included in the EGI Service Portfolio
Ownership responsibilities on EGI Foundation
Accessible through the EGI Marketplace

3. FAIR in EGI EGI is contributing to the upcoming FAIR digital world:
Requirements
Related EGI solutions
Findable
-Catalogue
-Metadata
-PIDs
EGI Marketplace, AppDB
Accessible
-Terms and conditions
-AAI as needed
-Open & standard access protocols
EGI Marketplace, policies, and stand-based protocols
Interoperable
-Vocabularies and formal language for metadata
-Qualified references
We provide technologies and tools for developers who want to create FAIR services (e.g. workflows, tools, VREs)
Reusable
-Open source implementation, -Documentation (for human),
-Semantic description (for machines)

4. How to find the service ?
Login to the Marketplace
With his/her personal academic credentials, eduGain, Social credentials or use the EGI SSO account
Configure the user’s account (only first time)

5. How to access the service ?

6. How to access the service ?

7. How to access service ?
Profile your service order by adding additional information
Submit your order

8. The EGI Applications on Demand service overall architecture
App. App.
1 … K
Application hosting framework
App. App.
1 … L
Application hosting framework 1 2
Usage stats
EGI
Accounting system
Cloud, HTC, storage sites
Marketplace
Users
Application hosting framework 3
Application hosting framework 4
Scientific publications
Identity vetting
suspend users
App. 1
App. M
App. 1
App. M … …
Usage stats
National support teams

9. AoDs exploitation example: Epilepsy research
Massimo Rizzi from the Mario Negri Institute for Pharmacological Research
Understand the mechanisms leading to epilepsy as well as new therapeutic approaches
Emergence of nonlinear dynamics in the electrical activity of the brain of epileptic subjects
Mathematical approach: Recurrence Quantification Analysis (RQA) to nonlinear time-series analysis.
Potential journals: Brain; J. of Neuroscience
Computational aspect:
Custom C code, run in batch mode
Typical study: 70k-100k EEG epochs
Each epoch takes 3-5 min on a PC
Output is small ( Byte/epoch)
Using EC3 gateway
Source: Wikipedia

10. How to contribute ?
Apply for access as a user  Through the Marketplace
Resource providers  Doc for providers
Integrate new applications  Doc for developers
Add a portal/gateway  Doc for tech. providers

11. Do you want to get in touch ? Contact us at support@egi.eu
Credits
Do you want to get in touch ? Contact us at
The EGI Applications on Demand (AoD) service