Stream computing research is moving from terascale to petascale levels. It aims to rapidly analyze data as it streams in from many sources and make decisions with high speed and a...
Ankur Narang, Vikas Agarwal, Monu Kedia, Vijay K. ...
Low-latency and high-throughput processing are key requirements of data stream management systems (DSMSs). Hence, multi-core processors that provide high aggregate processing capa...
The Client Server DBMS model has emerged as the main paradigm in database computing. The Enhanced Client Server architecture takes advantage of all the available client resources ...
A number of experiments regarding the placement of instructions, private data and shared data in the Non-Uniform-Memory-Access multiprocessor, RP3 has been performed. Three Scient...
Stream processing has become increasingly important with emergence of stream applications such as audio/video surveillance, stock price tracing, and sensor data analysis. A challe...