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This paper discusses architectural challenges in designing a distributed, scalable system for RFID tracking and monitoring. The paper argues for the need to combine inference and query processing techniques into a single system and consider several architectural choices for building such a system. Key research challenges in designing the system include: the design of inference techniques that span multiple sites, distributed maintenance of inference and query state, sharing of inference and query state for scalability, and the use of writeable RFID tags to transfer state information as objects move through the supply chain. The paper also presents the status of the ongoing research and preliminary results from an early implementation.
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