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As networked sensors continue to grow in sophistication and decrease in cost, the authors are seeing a new class of applications: those that combine data from the digital world with sensor readings, to facilitate environments that intelligently manage resources and assist humans. Examples include intelligent power grids, smart hospitals, home health monitors, energy efficient data centers, and building visitor guides. In all of these applications, there is a need to bring together disparate data from databases (e.g., site information, patient treatments, maps) with data from the Web (e.g., weather forecasts, calendars), from streaming data sources (e.g., resource consumption within a server), and from sensors embedded within an environment (e.g., generator temperature, RFID readings, energy levels) - in order to support decision making by high-level application logic.
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