For large, real-world inductive learning problems, the number of training examples often must be limited due to the costs associated with procuring, preparing, and storing the tra...
—Popular online services such as social networks, e-commerce and bidding are routinely hosted in large-scale data centers. Group communication systems (e.g., multicast) and distr...
Karthik Nagaraj, Hitesh Khandelwal, Charles Edwin ...
The predicted shift to non-volatile, byte-addressable memory (e.g., Phase Change Memory and Memristor), the growth of “big data”, and the subsequent emergence of frameworks su...
—The standard way to scale a distributed OLTP DBMS is to horizontally partition data across several nodes. Ideally, this results in each query/transaction being executed at just ...
Aubrey Tatarowicz, Carlo Curino, Evan P. C. Jones,...
The increasing volume of data stored as XML documents makes fragmentation techniques an alternative to the performance issues in query processing. Fragmented databases are feasible...
Guilherme Figueiredo, Vanessa P. Braganholo, Marta...