Re-thinking data flow at service facilities in times of terabyte-scale research projects

I will touch upon some of the critical issues of data management at scientific service facilities, like performance of intermediate storage, network bandwidth, de-central versus centralized processing, data transfer versus remote access, virtual machines, remote viewing, modularity and scalability, integration into pre-existing network architectures, compatibility of open source and popular software solutions, data de-convolution and data compression, intermediate versus long term storage, data integrity, risk management and maintenance.

I will present solutions that have been developed by Acquifer and briefly introduce some of our reference costumer sites.

In the second part of the presentation, in-depth technical questions that may have remained unanswered during the first part of the presentation and a discussion about future requirements will be moderated with Acquifer's development team.

Short bio Lord Hess:

• Studied Physics at University Heidelberg Kirchhoff Institute for Physics
• 2002 - 2005 CERN Geneva: Project leader at EU Datagrid Project for Fault Tolerance
• 2005 - 2015: CIO at spin off for fault tolerance massive storage systems from University Heidelberg
• 2016: Responsible for R&D at Aquifer for data management