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Power and performance in I/O for scientific applications
Coloma, K.; Choudhary, A.; Ching, A.; Liao, W.K.; Son, S.W.; Kandemir, M.; Ward, L.;
Parallel and Distributed Processing Symposium, 2005. Proceedings. 19th IEEE International
4-8 April 2005
Page(s):8 pp.
Abstract:
The I/O patterns of large scale scientific applications can often be characterized as small, non-contiguous, and regular. From a performance and power perspective, this is perhaps the worse kind of I/O for a disk. Two approaches to mitigating the mechanical limitations of disks are write-back caches and software-directed power management. Previous distributed caches are plagued by synchronization and scalability issues. The direct access cache: DAChe system is a user-level distributed cached that addresses both these problems. Past work on managing disk power during run time were effective, one should be able to improve on those results by adopting a proactive scheme.
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