The unprecedented scale, heterogeneity, and varied usage patterns of grids pose significant technical challenges to any underlying file system that will support them. While grid...
Brian S. White, Andrew S. Grimshaw, Anh Nguyen-Tuo...
Current cluster architectures provide the ideal environment to run federations of main-memory database systems (FMMDBs). In FMMDBs, data resides in the main memory of the federati...
We apply a scalable approach for practical, comprehensive design space evaluation and optimization. This approach combines design space sampling and statistical inference to ident...
Deep-layer machine learning architectures continue to emerge as a promising biologically-inspired framework for achieving scalable perception in artificial agents. State inference ...
Abstract. Service-oriented Computing and Service-oriented Architectures aspire to better exploit existing middleware technologies. To this end, a more flexible, platform independen...