Stampede RT: Programming Abstractions for Live Streaming Applications

  • Authors:
  • David Hilley;Umakishore Ramachandran

  • Affiliations:
  • Georgia Institute of Technology;Georgia Institute of Technology

  • Venue:
  • ICDCS '07 Proceedings of the 27th International Conference on Distributed Computing Systems
  • Year:
  • 2007

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Abstract

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.