December 16, 2005
Researchers from Carnegie Mellon's Parallel Data Lab (PDL) received both Best Paper awards at the recent File and Storage Technologies (FAST) conference, the top forum for storage systems research.
The first paper, "Ursa Minor: Versatile Cluster-based Storage," describes initial steps toward PDL's long-term target of storage systems that manage themselves (Self-* Storage). "On Multidimensional Data and Modern Disks," the second work, introduces a new approach to exploiting modern disk characteristics for better system performance. That research arises from collaboration between the PDL, Intel Research Pittsburgh, and EMC Corporation.
One of academia's premier storage systems research centers, the PDL is an interdisciplinary group, bringing together graduate students and faculty mainly from the Computer Science and ECE departments. Both of the winning papers have authors from both departments.
Researchers from Carnegie Mellon's Parallel Data Lab (PDL) received both Best Paper awards at the recent File and Storage Technologies (FAST) conference.
