![]() Because the transfer of one large file is more efficient than transferring many small files, container formats enable a faster transfer of experiment data. The final data will be stored in NeXus compatible HDF5 container format. The workflow should be transparent to the user as well as to the beamline scientists. During this process a few obstacles have to be tackled. The complete chain from submitting a proposal, collecting meta data, performing an experiment, towards analysis of these data and finally long term archive will be described. We present an Analysis-as-a-Service (AaaS) approach based on the on-demand allocation of VMs with dedicated GPU cores and a corresponding analysis environment to provide a cloud-like analysis service for scientific users. In this paper, we discuss a concept for a flexible analysis infrastructure that will be part in the project ASTOR, which is the abbreviation for " Arthropod Structure revealed by ultra-fast Tomography and Online Reconstruction ". However, the automatic deployment, operation and remote access of OpenGL-capable VMs with professional visualization applications is a non-trivial task. The provision of virtual machines (VMs) accessible via a remote connection could avoid this inflexibility. ![]() ![]() For this reason, users depend heavily on available free workstations, both temporally and locally. They demand special computing workstations with a corresponding CPU and GPU power, enough main memory and fast network interconnects for a performant remote data access. Modern data analysis applications for 2D/3D data samples require complex visual output features which are often based on OpenGL, a multi-platform API for rendering vector graphics. ![]()
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