EGI-Engage: Final Review Giuseppe La Rocca 23-10-2017 Turning applications into reusable services – The EGI Applications On Demand Service experience Giuseppe La Rocca Technical Outreach Expert EGI Foundation

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

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)

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

How to access the service ?

How to access the service ?

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

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

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 (80-100 Byte/epoch) Using EC3 gateway Source: Wikipedia

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

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