This paper presents a family of simulators that have been developed for data-intensive applications, and a methodology to select the most efficient one based on a usersupplied req...
We present a new Bayesian approach to object identification: variants. By object identification we mean the detection of the member (regular variant) of a given statistical popula...
Exploitation of data re-use in combination with the use of custom memory hierarchy that exploits the temporal locality of data accesses may introduce significant power savings, esp...
Dimitrios Soudris, Nikolaos D. Zervas, Antonios Ar...
We propose a two-pha.se algorithm for physical database design. In phase one the algorithm, for each logical query, losesrules to determine characteristics of a physical design (s...
We consider the problem of selecting the best among several heavy-tailed systems using a large deviations perspective. In contrast to the light-tailed setting studied by Glynn and...