The sheer volume of modern data makes manual file management impractical. Search-oriented file systems, where data and metadata are indexed for fast search, are increasingly viewed as a necessity, everywhere from desktops to HPC. However, current techniques have been designed and tested for file system metadata, such as POSIX metadata, and fail to account for the wide variety of metadata users would like to search. In particular, the scientific world has been vocal about a desire to search extended and content metadata. While file system metadata is well characterized by a variety of workload studies, scientific metadata is much less well understood. We have characterized scientific metadata in order to better understand the implications for index design. Our findings are being used to inform the design of novel new indexing systems.
A partnership between academia and industry exploring and developing new technologies and techniques to improve the manageability, scalability, security, reliability, longevity, and performance of storage systems.
CRSS facilitates collaboration in research and education, and provides pathways to simplify direct transfer of university developed ideas, research results, and technology to its industrial sponsors, helping them to improve their competitive posture in the global marketplace.
CRSS conducts research in a wide range of storage-related fields and applied security, including archival storage, scalable distributed indexing and non-hierarchical file systems, large-scale distributed storage systems, file systems for next-generation storage devices, and data deduplication.
CRSS is looking for talented students who want to study for an M.S. or Ph.D. at UC Santa Cruz! Grad students at CRSS work closely with faculty and other students, as well as with local industry. Our graduates typically have multiple job offers, whether from industry, government, or academia.