storagemedium

Quantifying benefits of offloading data management to storage devices

ZEA, A Data Management Approach for SMR

Automatic Generation of Behavioral Hard Disk Drive Access Time Models

Predicting access times is a crucial part of predicting hard disk drive performance. Existing approaches use white-box modeling and require intimate knowledge of the internal layout of the drive, which can take months to extract. Automatically …

Automatic Generation of Behavioral Hard Disk Drive Access Time Models

Predicting access times is a crucial part of predicting hard disk drive performance. Existing approaches use white-box modeling and require intimate knowledge of the internal layout of the drive, which can take months to extract. Automatically …

Fourier-Assisted Machine Learning of Hard Disk Drive Access Time Models

Predicting access times is a crucial part of predicting hard disk drive performance. Existing approaches use white-box modeling and require intimate knowledge of the internal layout of the drive, which can take months to extract. Automatically …

DRepl: Optimizing Access to Application Data for Analysis and Visualization

Until recently most scientific applications produced data that is saved, analyzed and visualized at later time. In recent years, with the large increase in the amount of data and computational power available there is demand for applications to …

LiFS: An Attribute-Rich File System for Storage Class Memories

As the number and variety of files stored and accessed by a typical user has dramatically increased, existing file system structures have begun to fail as a mechanism for managing all of the information contained in those files. Many …