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» Storage device performance prediction with CART models
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MSS
2005
IEEE
84views Hardware» more  MSS 2005»
13 years 11 months ago
Using MEMS-Based Storage to Boost Disk Performance
Non-volatile storage technologies such as flash memory, Magnetic RAM (MRAM), and MEMS-based storage are emerging as serious alternatives to disk drives. Among these, MEMS storage...
Feng Wang 0003, Bo Hong, Scott A. Brandt, Darrell ...
DAMON
2009
Springer
14 years 24 days ago
Evaluating and repairing write performance on flash devices
In the last few years NAND flash storage has become more and more popular as price per GB and capacity both improve at exponential rates. Flash memory offers significant bene...
Radu Stoica, Manos Athanassoulis, Ryan Johnson, An...
HPCC
2007
Springer
13 years 10 months ago
An Exploration of Performance Attributes for Symbolic Modeling of Emerging Processing Devices
Vector, emerging (homogenous and heterogeneous) multi-core and a number of accelerator processing devices potentially offer an order of magnitude speedup for scientific application...
Sadaf R. Alam, Nikhil Bhatia, Jeffrey S. Vetter
FAST
2010
13 years 8 months ago
BASIL: Automated IO Load Balancing Across Storage Devices
Live migration of virtual hard disks between storage arrays has long been possible. However, there is a dearth of online tools to perform automated virtual disk placement and IO l...
Ajay Gulati, Chethan Kumar, Irfan Ahmad, Karan Kum...
ITC
2000
IEEE
88views Hardware» more  ITC 2000»
13 years 10 months ago
Predicting device performance from pass/fail transient signal analysis data
Transient Signal Analysis (TSA) is a Go/No-Go device testing method that is based on the analysis of voltage transients at multiple test points. In this paper, a technique based o...
James F. Plusquellic, Amy Germida, Jonathan Hudson...