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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.
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