INDIGO-Datacloud: foundations and architectural description of a Platform as a Service oriented to scientific computing

TL;DR

This paper presents the architecture of INDIGO-Datacloud, a PaaS designed to simplify scientific computing by providing seamless access to distributed infrastructures, leveraging recent advances in data processing, storage, security, and privacy.

Contribution

It introduces a novel PaaS architecture tailored for scientific computing that unifies distributed resources and enhances usability and security.

Findings

Provides a unified view of distributed computing infrastructures.

Demonstrates practical examples in high-energy physics computing.

Facilitates seamless access to large-scale data and processing resources.

Abstract

In this paper we describe the architecture of a Platform as a Service (PaaS) oriented to computing and data analysis. In order to clarify the choices we made, we explain the features using practical examples, applied to several known usage patterns in the area of HEP computing. The proposed architecture is devised to provide researchers with a unified view of distributed computing infrastructures, focusing in facilitating seamless access. In this respect the Platform is able to profit from the most recent developments for computing and processing large amounts of data, and to exploit current storage and preservation technologies, with the appropriate mechanisms to ensure security and privacy.