The probability of failures in software distributed shared memory (SDSM) increases as the system size grows. This paper introduces a new, efficient message logging technique, call...
Most similarity search techniques map the data objects into some high-dimensional feature space. The similarity search then corresponds to a nearest-neighbor search in the feature...
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, ...
This paper proposes methodologies to control the access of B-tree-indexed data in a batch and real-time fashion. Algorithms are proposed to insert, query, delete, and rebalance B-...
This paper describes intelligent virtual tutors for interaction skills training who can serve the roles of demonstrator, coach, trainer, mentor, and observer. These roles meet the ...