Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/77092
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Type: Conference paper
Title: PeerTrack: a platform for tracking and tracing objects in large-scale traceability networks
Author: Wu, Y.
Sheng, Q.
Ranasinghe, D.
Yao, L.
Citation: Proceedings of the 15th International Conference on Extending Database Technology, EDBT 2012: pp.586-589
Publisher: ACM Press
Publisher Place: Germany
Issue Date: 2012
ISBN: 9781450307901
Conference Name: International Conference on Extending Database Technology (2012 : Berlin, Germany)
Statement of
Responsibility: 
Yanbo Wu, Quan Z. Sheng, Damith Ranasinghe and Lina Yao
Abstract: The ability to track and trace individual items, especially through large-scale and distributed networks, is the key to realizing many important business applications such as supply chain management, asset tracking, and counterfeit detection. Unfortunately, enabling traceability across independent organizations still poses significant challenges in dealing with large volume of data and sovereignty of the participants. This paper describes PeerTrack, a scalable platform for efficiently and effectively tracking and tracing objects in large-scale traceability networks. With a novel data model, a DHT-based indexer, and a distributed query processor, PeerTrack provides an environment where traceability applications can share data across independent organizations in a peer-to-peer fashion. This paper presents the motivation, system design, implementation, and a proof-of-concept system of the PeerTrack platform.
Rights: Copyright 2012 ACM
RMID: 0020120772
DOI: 10.1145/2247596.2247672
Published version: http://dl.acm.org/citation.cfm?id=2247596
Appears in Collections:Computer Science publications

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