June 25, 2007 to June 27, 2007
David Hilley , Georgia Institute of Technology
We present Stampede^RT, middleware designed to provide a natural programming model appropriate for live streaming applications. Such applications require pervasive access to multiple streaming data sources for distributed online analysis. One motivating example is a distributed robotics application which analyzes live camera feeds for control and planning. Most existing middlewares for streaming data focus on media streams and low-level transport characteristics such as delivery latency and efficient transfer, but do not define a programming model to succinctly express applications that manipulate and analyze the streaming content. StampedeRT provides for straightforward transport and manipulation of temporally-ordered data streams, enabling simple synchronization and correlation of data sources. We present an abstract programming model to support the aforementioned class of applications and then describe a concrete realization of the model as a distributed middleware architecture. We also evaluate our implementation of the architecture and present several motivating applications StampedeRT is designed to support.
David Hilley, "Stampede RT: Programming Abstractions for Live Streaming Applications", ICDCS, 2007, 2013 IEEE 33rd International Conference on Distributed Computing Systems, 2013 IEEE 33rd International Conference on Distributed Computing Systems 2007, pp. 65, doi:10.1109/ICDCS.2007.140