A real-time AI system in the real world needs to monitor an immense volume of data. To do this, the system must filter out much of the incoming data. However, it must remain re ...
The intricacy of real-time data service management increases mainly due to the emergence of applications operating in open and unpredictable environments, increases in software co...
Many real-time applications, such as traffic control systems, surveillance systems and health monitoring systems, need to operate on continuous unbounded streams of data. These ap...
Real-time data services can benefit data-intensive real-time applications, e.g., e-commerce, via timely transaction processing using fresh data, e.g., the current stock prices. T...
With the widespread adoption of location tracking technologies like GPS, the domain of transportation information management has seen growing interest in the last few years. In th...
Alain Biem, Eric Bouillet, Hanhua Feng, Anand Rang...