Towards Data-Driven I/O Load Balancing in Extreme-Scale Storage Systems
Storage systems used for supercomputers and high performance computing (HPC) centers exhibit load imbalance and resource contention. This is mainly due to two factors: the bursty nature of the I/O of scientific applications; and the complex and distributed I/O path without centralized arbitration an...
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Virginia Tech
2018
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| Online Access: | http://hdl.handle.net/10919/86272 |