1. The DODAS Experience on the EGI Federated Cloud
- Author
-
Doina Cristina Duma, Daniele Spiga, Enol Fernandez, Giacinto Donvito, Diego Ciangottini, Vincenzo Spinoso, Mirco Tracolli, Marica Antonacci, Luciano Gaido, Andrea Ceccanti, and Davide Salomoni
- Subjects
Service (systems architecture) ,010308 nuclear & particles physics ,business.industry ,Physics ,QC1-999 ,Cloud computing ,01 natural sciences ,Replication (computing) ,OpenID Connect ,World Wide Web ,Software portability ,0103 physical sciences ,Orchestration (computing) ,Information discovery ,Federated identity ,010306 general physics ,business - Abstract
The EGI Cloud Compute service offers a multi-cloud IaaS federation that brings together research clouds as a scalable computing platform for research accessible with OpenID Connect Federated Identity. The federation is not limited to single sign-on, it also introduces features to facilitate the portability of applications across providers: i) a common VM image catalogue VM image replication to ensure these images will be available at providers whenever needed; ii) a GraphQL information discovery API to understand the capacities and capabilities available at each provider; and iii) integration with orchestration tools (such as Infrastructure Manager) to abstract the federation and facilitate using heterogeneous providers. EGI also monitors the correct function of every provider and collects usage information across all the infrastructure. DODAS (Dynamic On Demand Analysis Service) is an open-source Platform-as-a-Service tool, which allows to deploy software applications over heterogeneous and hybrid clouds. DODAS is one of the so-called Thematic Services of the EOSC-hub project and it instantiates on-demand container-based clusters offering a high level of abstraction to users, allowing to exploit distributed cloud infrastructures with a very limited knowledge of the underlying technologies.This work presents a comprehensive overview of DODAS integration with EGI Cloud Federation, reporting the experience of the integration with CMS Experiment submission infrastructure system.
- Published
- 2020