A Cost-Space Approach to Distributed Query Optimization in Stream Based Overlays

  • Authors:
  • Jeffrey Shneidman;Peter Pietzuch;Matt Welsh;Margo Seltzer;Mema Roussopoulos

  • Affiliations:
  • Harvard University, Cambridge, MA, USA;Harvard University, Cambridge, MA, USA;Harvard University, Cambridge, MA, USA;Harvard University, Cambridge, MA, USA;Harvard University, Cambridge, MA, USA

  • Venue:
  • ICDEW '05 Proceedings of the 21st International Conference on Data Engineering Workshops
  • Year:
  • 2005

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Abstract

Distributed stream-based applications, such as continuous query systems, have network scale and time characteristics that challenge traditional distributed query optimization. The optimization sub-problems of plan generation and service placement should be integrated to meet these challenges. These tasks have typically been treated as independent sub-problems because of the complexity of their integration. We suggest cost spaces as one way to mitigate this complexity. We further consider how cost spaces can be used to allow tractable multi-query optimization.