Dynamic On Demand Analysis Service (DODAS) is a Platform as a Service tool built
combining several solutions and products developed by the INDIGO-DataCloud H2020
project. It has been extensively tested on a dedicated interoperability testbed
under the umbrella of the EOSCpilot project, during the first year of the project.
Although originally designed for the Compact Muon Solenoid (CMS) Experiment at
LHC, DODAS has been quickly adopted by the Alpha Magnetic Spectrometer (AMS)
astroparticle physics experiment mounted on the ISS as a solution to exploit
opportunistic computing, nowadays an extremely important topic for research domains where computing needs constantly increase. Given its flexibility and efficiency, DODAS was selected as one of the Thematic Services that will provide multi-disciplinary solutions in the EOSC-hub project. An integration and management system of the European Open Science Cloud starting in January 2018.
During the integration pilot the usage of any cloud (both public and private)
to seamlessly integrate existing Grid computing model of CMS was demonstrated.
Overall, integration has been successful and much experience has been gained
resulting in improved understanding of weaknesses and aspects to improve and to optimise.
Weaknesses, and aspects to be improved include:
\begin{itemize}
\item Federation: federated access to underlying IaaS is a key. So far we’ve
experienced several issues. Frequently we had issues with the IaaS provider
already using OpenID Connect Authorization Server and thus unable to federate
additional services. We adopted ESACO solution to solve such a problem. It
would be crucial to have it as a EOSC provided service.
\begin{itemize}
\item for non-proprietary IaaSes would be extremely important in the EOSC
landscape. A scenario where, as example, a commercial cloud is used, would
benefit of such functionality for counting the overall HEPSpec .
\end{itemize}
\item Transparent Data Access: so far the only scalable solution we can use is
XrootD . However, this might not fit all possible use cases. A more generic
solution would be a big plus.
\item Resource monitoring: we didn’t find a common solution for monitoring
cloud resources. Although we implemented our own we are convinced that a
common strategy would be extremely valuable.
\item PaaS Orchestration: Although the current INDIGO PaaS Orchestrator has
been fully integrated and show enormous advantages while dealing with multiple
IaaSes, there is room for improvement both in the interface and in the management
of IaaS ranking.
\end{itemize}
\subsection{Interoperability pilots: AAI}
TOCHANGE
The software development lifecycle (SDL) process (Figure~\ref{fig:1}) in INDIGO has been supported by a continuous
software improvement process that regarded the software quality assurance, software maintenance,