Modern scientific computing involves organizing, moving, visualizing, and analyzing massive amounts of data from around the world, as well as employing large-scale computation. The...
Brian Tierney, William E. Johnston, Jason Lee, Mar...
An infrastructure for remote instrument access, data acquisition and data management is being developed for e-Research. The Common Instrument Middleware Architecture (CIMA) is bei...
Ian M. Atkinson, Douglas du Boulay, Clinton Chee, ...
Data streaming management and scheduling is required by many grid computing applications, especially when the volume of data to be processed is extremely high while available stor...
The management and access of distributed informational resources has emerged as an important requirement for scientific simulations using high-performance computing facilities. Bot...
Data management is growing in complexity as largescale applications take advantage of the loosely coupled resources brought together by grid middleware and by abundant storage cap...