1. Exploitation and Sustainability updates
Matthew Viljoen, Roberta Piscitelli
introduce me, EGI.eu
INDIGO 3.4 task leader

2. Exploitation for the WP2 case studies
Before the end of the project, plan for continuity for the WP2 case studies
For each case study:
which INDIGO components are they using?
what resources are they using?
who are their current resource providers? EGI?
plans for going into production (when? dependencies? needed resources? funding model?)
Ultimate aim is full production (SLA, monitoring, helpdesk, support, …)
INDIGO Outreach and Exploitation process

3. Commercial exploitation
Initial engagement at Frascati
ATOS
Meeting 23 Jan 23
Follow up meeting with in-depth technical presentations, demos (IaaS, PaaS, DM)
T-Systems and Helix Nebula
Particularly interested in hybrid clouds. Focus on Onedata, IM. Pilot infrastructure running, next step is engagement with technical staff
INDIGO Outreach and Exploitation process

4. Parallel exploitation with EGI-ENGAGE
Onedata
EGI DataHub (generic Onezone) being prepared as a production service
Roadmap to full TRL8 production for EGI DataHub and Open Data Platform
Intensive testing with early adopters (inc. ICOS, EOPilot)
Infrastructure Manager
VM Ops Dashboard imminent move to production
INDIGO Outreach and Exploitation process

5. Exploitation and sustainability plans
European Open Science Cloud ecosystem
Based on services, with an inclusive rather than exclusive approach
Promoting competition but assuring that base line requirements are covered
Identifying needs and estimating resources from research communities & innovation teams
We assume a EU‐OSC model inspired by the “Cloud technology”, and use a “layered” structure for the scheme of services: IaaS (Infrastructure as a Service), PaaS (Platform as a Service) and SaaS (Software as a Service).
Integrating distributed data infrastructures with INDIGO-DataCloud

6. Exploitation & sustainability model in EOSC: roles
Service Providers (including also “aggregators”), for example
• Enablers (knowing how to exploit the services, including if needed extra services/tools)
• Solvers (providing the solutions closer to the final user, integrating “specific” knowledge)
• Users/Customers (directly or indirectly, i.e. reselling, exploiting the solutions in the Cloud).
Integrating distributed data infrastructures with INDIGO-DataCloud

7. Integrating distributed data infrastructures with INDIGO-DataCloud
Potential roles in the EU‐OSC ecosystem for different EU e‐Infrastructures
Integrating distributed data infrastructures with INDIGO-DataCloud

8. Analysis of exploitation for the case studies
Detailed analysis of the exploitation possibilities for the applications proposed in the Case Studies promoted by each Research Community
Produced a table with the following parameters:
VALUE: describes why the Case Study is expected to be relevant and why the integration of INDIGO solutions provided added value
IMPLEMENTATION: considers the different points in the application lifecycle that assure its correct integration and deployment, including the election of infrastructure providers.
USER ADOPTION: measures the factors impacting on the popularity of the use case
IMPACT: concludes the analysis at a wider scope.
These metrics imply an additional interaction of the champions and seniors participating in INDIGO with their research communities
Integrating distributed data infrastructures with INDIGO-DataCloud

9. Parallel Exploitation with EINFRA12 (1)
Joint digital Innovation Hub
Establish a Joint Innovation Hub that fosters the creation of partnerships to promote innovation between e-Infrastructures and the private sector by piloting concrete use cases.
In order to immediately activate the Joint DIH, a number of business pilots were identified through an open process and will serve as initial demonstrators of DIH during the first half of the project.
Activities comprise ensuring access to the required services, providing technical support, defining pre-commercial agreements, and assessing and validating results.
Integrating distributed data infrastructures with INDIGO-DataCloud

10. Parallel Exploitation with EINFRA12 (2)
Thematic services
Thematic services are expected to serve the needs of specific science domains and/or of multidisciplinary research.
These services will be technically and operationally integrated with generic compute, storage, data management and security, to provide a richer set of digital capabilities to the European and international research collaborations. Service management, training and technical support will be also in scope in the project.
Integrating distributed data infrastructures with INDIGO-DataCloud