Energy community and HPC. It is cheaper to collect a lot of samples and run simulations to decide where to drill (the extremely costly part). Energy community and HPC. It is cheaper to collect a lot of samples and run simulations to decide where to drill (the extremely costly part). Review of several effort one modeling for science making. They also run a collection of failures and maintenance cycles on hardware. Job interruptions becomes linear in number of chips (quite interesting result). Compute power on top 500 still doubles per year, and thus the failure rates. Lost disk becomes more and more painful (since the regeneration takes from 8h currently per terabyte to weeks in prediction). All this claims a change on the design. The approach is to spread data as much possible, and that can help to linearly reduce the reconstruction times. File systems are “object” file systems such as the Google FS and Hadoop FS. pNFS: scalable NFS soon. A key goal: reuse current tools people are using to speed up adaption and make it appealing to the users.