Name
Abstract | ||
|---|---|---|
In this paper, we present the design of a scalable, distributed stream processing system for RFID tracking and monitoring. Since RFID data lacks containment and location information that is key to query processing, we propose to combine location and containment inference with stream query processing in a single architecture, with inference as an enabling mechanism for high-level query processing. We further consider challenges in instantiating such a system in large distributed settings and design techniques for distributed inference and query processing. Our experimental results, using both real-world data and large synthetic traces, demonstrate the accuracy, efficiency, and scalability of our proposed techniques. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.14778/1952376.1952382 | Clinical Orthopaedics and Related Research |
Keywords | DocType | Volume |
stream processing system,location information,containment inference,rfid tracking,design technique,stream query processing,rfid data,high-level query processing,query processing,large synthetic trace | Journal | 4 |
Issue | ISSN | Citations |
5 | Proceedings of the VLDB Endowment (PVLDB), Vol. 4, No. 5, pp.
326-337 (2011) | 21 |
PageRank | References | Authors |
0.93 | 16 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhao Cao | 1 | 41 | 2.07 |
| Charles Sutton | 2 | 1723 | 107.23 |
| Yanlei Diao | 3 | 2234 | 108.95 |
| Prashant J. Shenoy | 4 | 6386 | 521.30 |