Provenance describes how an object came to be in its present state. Thus, it describes the evolution of the object over time. Prior work on provenance has focussed on databases an...
Lineage stores often contain sensitive information that needs protection from unauthorized access. We build on prior work for security and privacy of lineage information, focusing...
Arnon Rosenthal, Len Seligman, Adriane Chapman, Ba...
We present a formalism for provenance in distributed systems based on the -calculus. Its main feature is that all data products are annotated with metadata representing their prov...
Issam Souilah, Adrian Francalanza, Vladimiro Sasso...
The advent of cloud computing provides a cheap and convenient mechanism for scientists to share data. The utility of such data is obviously enhanced when the provenance of the dat...
Kiran-Kumar Muniswamy-Reddy, Peter Macko, Margo I....
Versioning file systems provide the ability to recover from a variety of failures, including file corruption, virus and worm infestations, and user mistakes. However, using versio...
As increasing amounts of valuable information are produced and persist digitally, the ability to determine the origin of data becomes important. In science, medicine, commerce, an...
This paper presents the design, implementation, and evaluation of BORG, a self-optimizing storage system that performs automatic block reorganization based on the observed I/O wor...
Medha Bhadkamkar, Jorge Guerra, Luis Useche, Sam B...
User I/O intensity can significantly impact the performance of on-line RAID reconstruction due to contention for the shared disk bandwidth. Based on this observation, this paper p...
HYDRAstor is a scalable, secondary storage solution aimed at the enterprise market. The system consists of a back-end architectured as a grid of storage nodes built around a distr...
We present sparse indexing, a technique that uses sampling and exploits the inherent locality within backup streams to solve for large-scale backup (e.g., hundreds of terabytes) t...
Mark Lillibridge, Kave Eshghi, Deepavali Bhagwat, ...