Abstract

The development of data management services capable to cope with very large data resources is a key challenge to allow the future einfrastructures to address the needs of the next generation extreme scale scientific experiments. To face this challenge, in November 2017 the H2020 eXtreme DataCloud - XDC project has been launched. Lasting for 27 months and combining the expertise of eight large European research organisations, the project aims at developing scalable technologies for federating storage resources and managing data in highly distributed computing environments. The targeted platforms are the current and next generation e-Infrastructures deployed in Europe, such as the European Open Science Cloud (EOSC), the European Grid Infrastructure (EGI), and the Worldwide LHC Computing Grid (WLCG). The project is use-case driven with a multidisciplinary approach, addressing requirements from research communities belonging to a wide range of scientific domains: High Energy Physics, Astronomy, Photon and Life Science, Medical research. XDC is aimed at implementing data management scalable services, combining already established data management and orchestration tools, to address the following high level topics: policy driven data management based on Quality-of-Service, Data Life-cycle management, smart placement of data with caching mechanisms to reduce access latency, meta-data with no predefined schema handling, execution of pre-processing applications during ingestion, data management and protection of sensitive data in distributed e-infrastructures, intelligent data placement based on access patterns. This contribution introduces the project, presents the foreseen overall architecture and the developments that are being carried on to implement the requested functionalities.

Highlights

  • The eXtreme DataCloud (XDC) project [1] develops scalable technologies for federating storage resources and managing data in highly distributed computing environments

  • The targeted platforms for the released products are the already existing and the generation eInfrastructures deployed in Europe, such as the European Open Science Cloud (EOSC) [2], the European Grid Infrastructure (EGI) [3], the Worldwide LHC Computing Grid (WLCG) [4] and the computing infrastructures that will be funded by the upcoming H2020 EINFRA12 call

  • The XDC objectives have been discussed and presented. Those objectives are the real driver of the project and derive directly from the several scientific communities represented into the Consortium

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Summary

Introduction

The eXtreme DataCloud (XDC) project [1] develops scalable technologies for federating storage resources and managing data in highly distributed computing environments. The provided services are capable of operating at the unprecedented scale required by the most demanding, data intensive, research experiments in Europe and Worldwide. It is carried on by a Consortium that brings together technology providers with a proven long-standing experience in software development and large research communities belonging to diverse disciplines: LifeScience, Biodiversity, Clinical Research, Astrophysics, High Energy Physics and Photon Science. XDC is a use case driven development project and the Consortium has been built as a combination of technology providers, Research Communities and Infrastructure providers. Among the high level requirements collected from the Research Communities, the Consortium identified those considered more general (and exploitable by other communities), with the greatest impact on the user base and that can be implemented in a timespan compatible with the project duration and funding

Project Objectives
Lifewatch
Data ingestion pre-processing
XDC Overall architecture and related components
XDC Orchestration system
XDC QualityOfService implementation
Caching within XDC
XDC developments for the Onedata storage federator
Findings
Conclusion
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