We describe an approach for pipelining nested data collections in scientific workflows. Our approach logically delimits arbitrarily nested collections of data tokens using special...
The growing number of distributed information systems such as the internet has created a need for security in data sharing. When several autonomous parties attempt to share data, t...
Ryan Layfield, Murat Kantarcioglu, Bhavani M. Thur...
On-line transaction processing exhibits poor memory behavior in high-end multiprocessor servers because of complex sharing patterns and substantial interaction between the databas...
Workloads that comb through vast amounts of data are gaining importance in the sciences. These workloads consist of "needle in a haystack" queries that are long running ...
The public safety community in the United States consists of thousands of local, state, and federal agencies, each with its own information system. In the past few years, there ha...