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The SNEEql (SNEE for Sensor NEtwork Engine) query optimizer, developed at the University of Manchester, is a novel query optimizer for sensor networks which combines a rich, expressive query language with a software architecture based traditional distributed query processing techniques. The optimization steps cover all the query optimization phases that are required to map a declarative query to executable code.

Ixent Galpin will be presenting the query optimization architecture at the International Conference on Data Engineering ’08, in Cancún, Mexco on 10 April 2008. If you are unable to attend the presentation, or are interested in knowing more details, you can view the information on this website.

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