187 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1998.We have implemented this approach via several extensions to the Portable Parallel File System (PPFS) testbed. Sensor metrics that summarize dynamic access pattern information and file system performance effectively guide adaptive policy selection, affording significant performance improvements over less adaptive optimization strategies. Our results with both parallel access pattern benchmarks and parallel scientific applications demonstrate the efficacy of our approach.U of I OnlyRestricted to the U of I community idenfinitely during batch ingest of legacy ETD
Effective file system caching reduces local disk accesses and remote file server accesses significan...
The distributed file system, HDFS, is widely deployed as the bedrock for many parallel big data anal...
We measure the performance and scalability of IBM’s General Parallel File System (GPFS) under a vari...
Parallel input/output characterization studies and experiments with flexible resource management alg...
Traditionally, maximizing input/output performance has required tailoring application input /output ...
Several algorithms for parallel disk systems have appeared in the literature recently, and they are ...
153 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997.We have implemented this clas...
A large and important class of national challenge applications are irregular, with complex, data dep...
174 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2000.Experimental results verified...
Abstract—Today’s computational science demands have re-sulted in ever larger parallel computers, and...
Parallel systems leverage parallel file systems to efficiently perform I/O to shared files. These pa...
. The broadening disparity in the performance of input/output (I/O) devices and the performance of p...
As disk capacities continue to rise more rapidly than transfer rates, adaptive, redundant striping s...
Large data stores are pushing the limits of modern technology. Parallel file systems provide high I/...
I/O data access is a recognized performance bottleneck of high-end computing. Several commercial and...
Effective file system caching reduces local disk accesses and remote file server accesses significan...
The distributed file system, HDFS, is widely deployed as the bedrock for many parallel big data anal...
We measure the performance and scalability of IBM’s General Parallel File System (GPFS) under a vari...
Parallel input/output characterization studies and experiments with flexible resource management alg...
Traditionally, maximizing input/output performance has required tailoring application input /output ...
Several algorithms for parallel disk systems have appeared in the literature recently, and they are ...
153 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997.We have implemented this clas...
A large and important class of national challenge applications are irregular, with complex, data dep...
174 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2000.Experimental results verified...
Abstract—Today’s computational science demands have re-sulted in ever larger parallel computers, and...
Parallel systems leverage parallel file systems to efficiently perform I/O to shared files. These pa...
. The broadening disparity in the performance of input/output (I/O) devices and the performance of p...
As disk capacities continue to rise more rapidly than transfer rates, adaptive, redundant striping s...
Large data stores are pushing the limits of modern technology. Parallel file systems provide high I/...
I/O data access is a recognized performance bottleneck of high-end computing. Several commercial and...
Effective file system caching reduces local disk accesses and remote file server accesses significan...
The distributed file system, HDFS, is widely deployed as the bedrock for many parallel big data anal...
We measure the performance and scalability of IBM’s General Parallel File System (GPFS) under a vari...