Tara M. Madhyastha and Daniel A. Reed. Exploiting global input/output access pattern classification. In Proceedings of SC97: High Performance Networking and Computing. ACM Press, November 1997. Home/Search Document Details and Download
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MS-I/O: A Distributed Multi-Storage I/O System - Shen, Choudhary (Correct)
....to automatically keep track of huge amount of datasets generated by data intensive applications. However, how to effectively incorporate state ofthe art I O techniques with data management system is not well addressed in these systems. The last group of work is the study on access patterns [24] in Pablo project [3] Their work, however, is limited to only a small number of features about the data s usage, many other important access pattern information such as data s partition, access frequency etc are missing. In addition, the I O optimizations of their work are limited to prefetching ....
T. Madhyastha and D. Reed. Exploiting global input/output access pattern classification. In Proceedings of SC'97, 1997.
Performance Analysis of Parallel Systems.. - Reed, Aydt.. (1998) (2 citations) Self-citation (Reed) (Correct)
....Systems As our extensive analysis of input output dynamics [6,35,32]hasshown, the parallel input output patterns in emerging applications are both irregular and dynamic. Because the interactions between these applications and the fi system software change during and across application executions [19], it is difficult or impossible to determine a globally optimal input output confi output or to staticallyconfia ure runtime systems and resource management policies for parallel input output. Hence, parallel input output optimization provides an excellent test of an adaptive, closed loop ....
....PPFS II is designed to work atop either parallel systems or PC and workstation clusters, providing a flexible testbed for highperformance input output experiments. To explore automatic, qualitative classifi of resource use, wehave developed a suite of trained artifi neural networks (ANNs) [19] and hidden Markov models (HMMs) 20] that are implemented as Autopilot sensors. ANNs can efficiently classify access streams in real time. In contrast, HMMs build a probabilistic model of the access pattern using prior execution training. This generality allows HMMs to classify arbitrary access ....
Madhyastha, T. M., and Reed, D. A. Exploiting Global Input/Output Access Pattern Classifi In Proceedings of SC '97: High Performance Computing and Networking (San Jose, Nov. 1997), IEEE Computer Society Press.
Global and Integrated Processor, Memory and Disk Management in a.. - Morin (Correct)
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Tara M. Madhyastha and Daniel A. Reed. Exploiting global input/output access pattern classification. In Proceedings of SC97: High Performance Networking and Computing. ACM Press, November 1997.
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