Researchers in embedded and reconfigurable computing are often hindered by a lack of suitable benchmarks with which to accurately evaluate their work. Without a suitable benchmark ...
Daniel W. Chang, Christipher D. Jenkins, Philip C....
Machine learning algorithms have recently attracted much interest for effective link adaptation due to their flexibility and ability to capture more environmental effects implicitl...
Reservoir sampling is a well-known technique for random sampling over data streams. In many streaming applications, however, an input stream may be naturally heterogeneous, i.e., c...
We introduce a novel multi-resource allocator to dynamically allocate resources for database servers running on virtual storage. Multi-resource allocation involves proportioning t...
Gokul Soundararajan, Daniel Lupei, Saeed Ghanbari,...
: Data management in the life sciences has evolved from simple storage of data to complex information systems providing additional functionalities like analysis and visualization c...