The Scotch Parallel Storage Systems (CMU-CS-95-107)

On-Line Data Reconstruction in Redundant Disk Arrays (CMU-CS-94-164)

To meet the bandwidth needs of modern computer systems, parallel storage systems are evolving beyond RAID levels 1 through 5. The Parallel Data Lab at Carnegie Mellon University has constructed three Scotch parallel storage testbeds to explore and evaluate five directions in RAID evolution: first, the development of new RAID architectures to reduce the cost/performance penalty of maintaining re...

Embedded Security for Network-Attached Storage (CMU-CS-99-154)

As storage interconnects evolve from single-host small-scale systems, such as traditional SCSI, to the multi-host Internet-based systems of Network-attached Secure Disks (NASD), protecting the integrity of data transfers between client and storage becomes essential. However, it is also computationally expensive and can impose significant performance penalties on storage systems. This paper expl...

Blurring the Line Between Oses and Storage Devices (CMU-CS-01-166)

This report makes a case for more expressive interfaces between operating systems (OSes) and storage devices. In today’s systems, the storage interface consists mainly of simple read and write commands; as a result, OSes operate with little understanding of device-specific characteristics and devices operate with little understanding of system priorities. More expressive interfaces, together wi...

Self-* Storage: Brick-based Storage with Automated Administration (CMU-CS-03-178)

This white paper describes a new project exploring the design and implementation of “self-* storage systems:” self-organizing, self-configuring, self-tuning, self-healing, self-managing systems of storage bricks. Borrowing organizational ideas from corporate structure and automation technologies from AI and control systems, we hope to dramatically reduce the administrative burden currently face...

RAIDframe: Rapid Prototyping for Disk Arrays (CMU-CS-95-200)