—We discuss a general architectural approach to knowledge and information management and delivery in distributed systems. Our approach is based on the recognition that time-stamp...
Geoffrey Fox, Mehmet S. Aktas, Galip Aydin, Andrea...
Sampling is a widely used technique to increase efficiency in database and data mining applications operating on large dataset. In this paper we present a scalable sampling imple...
Abstract We present ML5, a high level programming language for spatially distributed computing. The language, a variant of ML, allows an entire distributed application to be develo...
— A large and diverse consortium of grid clusters, as can be found in a university setting, requires a flexible authorization model that is scalable, extensible and easy to admi...
Beth A. Kirschner, Thomas J. Hacker, William A. Ad...
: Implementing systems for emergency response poses various challenges. Information from various sources and systems needs to be integrated, processed, aggregated, and visualized i...