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HNSciCloud use cases

HNSciCloud Early Adopter group of research organisations tested the HNSciCloud pilot platform services in different use cases. Goals, challenges and benefits of each use case are presented below.

LOFAR (Low Frequency Array) is the first of a new kind of telescope that uses an array of simple omnidirectional antennas as opposed to a dish antenna for mechanical signal processing. The electronic signals obtained from the antennas are digitized and transported to a central digital processor. The antennas are simple enough, but there are a lot of them – and indeed about 7,000 in the full LOFAR design. To make radio pictures of the sky with adequate sharpness, the antennas will be arranged in clusters spread out over an area of 100 km in diameter within the Netherlands and over 1500 km in diameter throughout Europe. Data transport requirements are in the range of numerous Terabits/sec and the processing power needed is tens of Tera-FLOPS.


The Crystfel framework is used for the technique of Serial Femtosecond Crystallography (SFX) and comprises programs for data processing, simulation and visualization. It is a part of a complex, nonredistributable software stack, which is free to use by academia and non-profit organizations. The crystfel framework is increasingly used at various synchrotrons and FELs to analyze date from serial (femto-second) x-ray crystallography. The nature of these experiments make a cloud-based distributed pipeline particularly appealing, since the framework can fully exploit large computational resources with tunable demands. The framework is well documented and vast amount of data are readily and openly available.

 Photon/Neutron Sciences

The 3DIX project produces 3D Imaging with X-rays. The objective is to make 3D images (volumes) of nanoscale objects to study their characteristics on a nanoscale. These studies can then be applied to a wide variety of objects and scientific fields such as chemical studies, life sciences, structure of materials etc.

 Photon/Neutron Sciences

The Pan‐Cancer initiative primary goal is to compare 12 tumor types profiled in the context of The Cancer Genome Atlas Research Network. Cancer can take hundreds of different forms, depending on external factors such as localization and cell type. Pan‐Cancer will look for shared molecular aberrations and will try to identify their impact on the disease evolution. Eventually, this will help extending therapies that are already known to be effective against a type of cancer to similar cancer types at the genomic level.

 Life Sciences

CERN does not have the computing or financial resources to crunch all of the data on site, so in 2002 it turned to grid computing to share the burden with computer centres around the world. Recently cloud computing has come to public attention due to the promise of providing as much computing power as people require, simplifying management and reducing TCO. Main goal is to demonstrate that it is possible to extend computing centres outside local computing facilities in order to be able to scale as much as the experiment requires, either during normal periods or when approaching an important deadline. The Compact Muon Solenoid (CMS) is a generalpurpose detector at the Large Hadron Collider (LHC). It has a broad physics programme ranging from studying the Standard Model (including the Higgs boson) to searching for extra dimensions and particles that could make up dark matter.

 High Energy Physics

Given the computational demands of the HADDOCK user group, the availability of easily accessible, affordable compute resources is important. The portal is used by a large worldwide community and availability/reliability of the service is crucial. The Helix Nebula science cloud would provide the opportunity to add these resources in a way that is seamless and invisible to the end user. To obtain this outcome, the resources in the Helix Nebula cloud would need to be made available to the current job scheduler of the HADDOCK project.

 Life Sciences

Who's behind HNSciCloud?

HNSciCloud Pre-Commercial Procurement is driven by ten leading research organisations from across Europe.