We present Grouped Distributed Queues (GDQ), the first proportional share scheduler for multiprocessor systems that scales well with a large number of processors and processes. G...
Current developments in processing data streams are based on the best-effort principle and therefore not adequate for many application areas. When sensor data is gathered by inte...
Random walk graph and Markov chain based models are used heavily in many data and system analysis domains, including web, bioinformatics, and queuing. These models enable the desc...
To have a robust and informative image content representation for image categorization, we often need to extract as many as possible visual features at various locations, scales a...
The Mariposa distributed data manager uses an economic model for managing the allocation of both storage objects and queries to servers. In this paper, we present extensions to th...
Jeff Sidell, Paul M. Aoki, Adam Sah, Carl Staelin,...