As ever-larger training sets for learning to rank are created, scalability of learning has become increasingly important to achieving continuing improvements in ranking accuracy [...
To cope with the explosive increase in the number of requests to Internet server systems, one popular solution is a load-balancing technique that uses a dispatcher in the front-en...
Semantic Web data exhibits very skewed frequency distributions among terms. Efficient large-scale distributed reasoning methods should maintain load-balance in the face of such hi...
This paper addresses the query performance issue for Relational OLAP (ROLAP) datacubes. We present a distributed multi-dimensional ROLAP indexing scheme which is practical to imple...
Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chapl...
Computational grids have not scaled effectively due to administrative hurdles to resource and user participation. Most production grids are essentially multi-site supercomputer ce...
Weishuai Yang, Nael B. Abu-Ghazaleh, Michael J. Le...