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High performance computing is facing a data deluge from state-of-the-art colliders and observatories. Large data-sets from these facilities, and other end-user sites, are often inputs to intensive analyses on modern supercomputers. Timely staging in of input data at the supercomputer's local storage can not only optimize space usage, but also protect against delays due to storage system failures....
Storage system failure is a serious concern as we approach Petascale computing. Even at today's sub-Petascale levels, I/O failure is the leading cause of downtimes and job failures. We contribute a novel, on-the-fly recovery framework for job input data into supercomputer parallel file systems. The framework exploits key traits of the HPC I/O workload to reconstruct lost input data during job execution...
Checkpointing is an indispensable technique to provide fault tolerance for long-running high-throughput applications like those running on desktop grids. This article argues that a checkpoint storage system, optimized to operate in these environments, can offer multiple benefits: reduce the load on a traditional file system, offer high-performance through specialization, and, finally, optimize data...
Scavenging (or resource borrowing) is a common approach used to harness unused resources to perform useful calculations. Since these are volunteer contributions from resource owners, it is vital to reduce the impact of scavenging activities on their native workload to a minimum. To this end, existing impact control systems are either overly conservative in stopping scavenging altogether or inflexible...
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