English

VERCE delivers a productive e-Science environment for seismology research

Distributed, Parallel, and Cluster Computing 2016-11-15 v1

Abstract

The VERCE project has pioneered an e-Infrastructure to support researchers using established simulation codes on high-performance computers in conjunction with multiple sources of observational data. This is accessed and organised via the VERCE science gateway that makes it convenient for seismologists to use these resources from any location via the Internet. Their data handling is made flexible and scalable by two Python libraries, ObsPy and dispel4py and by data services delivered by ORFEUS and EUDAT. Provenance driven tools enable rapid exploration of results and of the relationships between data, which accelerates understanding and method improvement. These powerful facilities are integrated and draw on many other e-Infrastructures. This paper presents the motivation for building such systems, it reviews how solid-Earth scientists can make significant research progress using them and explains the architecture and mechanisms that make their construction and operation achievable. We conclude with a summary of the achievements to date and identify the crucial steps needed to extend the capabilities for seismologists, for solid-Earth scientists and for similar disciplines.

Keywords

Cite

@article{arxiv.1510.01989,
  title  = {VERCE delivers a productive e-Science environment for seismology research},
  author = {Malcolm Atkinson and Michele Carpené and Emanuele Casarotti and Steffen Claus and Rosa Filgueira and Anton Frank and Michelle Galea and Tom Garth and André Gemünd and Heiner Igel and Iraklis Klampanos and Amrey Krause and Lion Krischer and Siew Hoon Leong and Federica Magnoni and Jonas Matser and Alberto Michelini and Andreas Rietbrock and Horst Schwichtenberg and Alessandro Spinuso and Jean-Pierre Vilotte},
  journal= {arXiv preprint arXiv:1510.01989},
  year   = {2016}
}

Comments

14 pages, 3 figures. Pre-publication version of paper accepted and published at the IEEE eScience 2015 conference in Munich with substantial additions, particularly in the analysis of issues