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The Large Scale Data Facility (LSDF) at the Karlsruhe Institute of Technology was started end of 2009 with the aim of supporting the growing requirements of data intensive experiments. In close cooperation with the involved scientific communities, the LSDF provides them not only with adequate storage space but with a directly attached analysis farm and --(More)
The Large Scale Data Facility (LSDF) was conceived and launched at the Karlsruhe Institute of Technology (KIT) end of 2009 to address the growing need for value-added storage services for data intensive experiments. The LSDF main focus is to support scientific experiments producing large data sets reaching into the petabyte range with adequate storage,(More)
Good awareness of the construction site environment and following the operation requirements of cranes are essential for safety. This paper describes a new approach integrating an environment perception technology and motion planning of cranes to improve construction safety. Motion planning and re-planning algorithms are applied for cranes considering(More)
The Large Scale Data Facility (LSDF) was started at the Karlsruhe Institute of Technology (KIT) end of 2009 to address the growing need for value-added storage services for its data intensive experiments. The main focus of the project is to provide scientific communities producing data collections in the tera — to petabyte range with the necessary(More)
gLite is one of the largest distributed computing infrastructures in operation. It provides access to hundreds of different clusters - all installed and maintained in different ways. This paper analyses the difficulties which users typically experience when moving from their own workstation via clusters or supercomputers to the grid. Based on that analysis,(More)
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)
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