A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit <a rel="external noopener" href="http://users.nccs.gov/~yk7/papers/icdcs11.pdf">the original URL</a>. The file type is <code>application/pdf</code>.
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s77bfh66ena2znlnuhuruo464a" style="color: black;">2011 31st International Conference on Distributed Computing Systems</a>
Massively parallel scientific applications, running on extreme-scale supercomputers, produce hundreds of terabytes of data per run, driving the need for storage solutions to improve their I/O performance. Traditional parallel file systems (PFS) in high performance computing (HPC) systems are unable to keep up with such high data rates, creating a storage wall. In this work, we present a novel multi-tiered storage architecture comprising hybrid node-local resources to construct a dynamic data<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icdcs.2011.33">doi:10.1109/icdcs.2011.33</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icdcs/PrabhakarVKBLK11.html">dblp:conf/icdcs/PrabhakarVKBLK11</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ly3suiz6rve7nbyxwoulafsqkm">fatcat:ly3suiz6rve7nbyxwoulafsqkm</a> </span>
more »... ging area for extreme-scale machines. Such a staging ground serves as an impedance matching device between applications and the PFS. Our solution combines diverse resources (e.g., DRAM, SSD) in such a way as to approach the performance of the fastest component technology and the cost of the least expensive one. We have developed an automated provisioning algorithm that aids in meeting the checkpointing performance requirement of HPC applications, by using a least-cost storage configuration. We evaluate our approach using both an implementation on a large scale cluster and a simulation driven by six-years worth of Jaguar supercomputer job-logs, and show that our approach, by choosing an appropriate storage configuration, achieves 41.5% cost savings with only negligible impact on performance.
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