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To address the growing need for value-added storage services for data intensive experiments at the Karlsruhe Institute of Technology (KIT), the Large Scale Data Facility (LSDF) was conceived and launched end of 2009. The LSDF main focus is to support scientific experiments producing large data sets reaching into the petabyte range in their data(More)
Many experiments have a data-management problem! This project aims at improving the situation, with adapted infrastructure and services Data Intensive Computing workflows are critical for the value of the data We present a concrete data intensive analysis use case at the LSDF
Experience with generating simulation data of high energy physics experiments has shown that a job monitoring system (JMS) is essential to understand failures of jobs within the Grid. Such a system can give information about the status of the user job as well as the worker node in parallel while a user job is running. It should support the user directly by(More)
Indoor localization has gained importance as it has the potential to improve various processes related to the lifecycle management of facilities and to deliver personalized and location-based services. Radio Frequency Identification (RFID) based systems, on the other hand, have been widely used in different applications in construction and maintenance. This(More)
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