SPIRE: Scalable Processing of RFID Event Streams

Radio Frequency Identification (RFID) technology is gaining acceptance in an increasing number of applications for tracking and monitoring purposes. While RFID raises the potential to provide unprecedented visibility in various application domains, data management techniques that are capable of handling massive amounts of data generated by large RFID deployments are still lacking. The sheer volume of data generated in such deployments could easily overwhelm existing information systems. Moreover, the transformation from raw RFID readings into meaningful, actionable information in real-time poses another significant challenge. In this paper, we present the design of the SPIRE system that aims to manage enormous volumes of RFID data and provide fast data information transformation. In addition, we outline our research plan to refine this design and evaluate its performance in a simulated large-scale RFID supply chain scenario.