In this paper, we propose a novel two-step approach to the management of the storage caches to provide predictable performance in multi-server storage architectures: (1) An adaptive QoS decomposition and optimization step uses max-flow algorithm to ...
Poor I/O performance can prevent an application from scaling to a large number of nodes even if the computation is parallelized appropriately. Therefore, improving I/O performance of large-scale parallel applications is very important. Caching recently ...
Increasing complexity of large-scale applications and continuous increases in data set sizes of such applications combined with slow improvements in disk access latencies has resulted in I/O becoming a performance bottleneck. While there are several ...
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