Management of real-time streaming data grid services

  • Authors:
  • Geoffrey Fox;Galip Aydin;Harshawardhan Gadgil;Shrideep Pallickara;Marlon Pierce;Wenjun Wu

  • Affiliations:
  • Community Grids Laboratory, Indiana University, Bloomington, IN;Community Grids Laboratory, Indiana University, Bloomington, IN;Community Grids Laboratory, Indiana University, Bloomington, IN;Community Grids Laboratory, Indiana University, Bloomington, IN;Community Grids Laboratory, Indiana University, Bloomington, IN;Community Grids Laboratory, Indiana University, Bloomington, IN

  • Venue:
  • GCC'05 Proceedings of the 4th international conference on Grid and Cooperative Computing
  • Year:
  • 2005

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Abstract

We discuss the architectural and management support for real time data stream applications, both in terms of lower level messaging and higher level service, filter and session structures. In our approach, messaging systems act as a Grid substrate that can provide qualities of service to various streaming applications ranging from audio-video collaboration to sensor grids. The messaging substrate is composed of distributed, hierarchically arranged message brokers that form networks. We discuss approaches to managing systems for both broker networks and application filters: broker network topologies must be created and maintained, and distributed filters must be arranged in appropriate sequences. These managed broker networks may be applied to a wide range of problems. We discuss applications to audio/video collaboration in some detail and also describe applications to streaming Global Positioning System data streams.