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Title:
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A HADOOP-BASED DATA PROCESSING PLATFORM FOR FRESH AGRO-PRODUCTS TRACEABILITY |
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Author(s):
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Mark Xu, Sajid Siraj, Lin Qi |
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ISBN:
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978-989-8533-39-5 |
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Editors:
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Ajith P. Abraham, Antonio Palma dos Reis and Jörg Roth |
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Year:
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2015 |
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Edition:
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Single |
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Keywords:
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Big Data; Hadoop; Traceability; Shelf-life prediction; Cold Supply Chain. |
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Type:
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Full Paper |
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First Page:
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37 |
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Last Page:
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44 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Wireless sensors on cold chain containers generate huge volume of real-time data that needs efficient processing for decision making, e.g. shelf life prediction due to quality decay. This paper introduces a Cloud Computing Traceability Platform (CCTP) which is constructed on top of Hadoop cloud computing framework. The user requirements for CCTP are gathered through various means including literature review, case study, brainstorming and expert questionnaire. The system is developed in Java and is evaluated on its effectiveness. CCTP provides a cloud-based unified data mining and decision support model for enterprises to achieve fresh agro-product supply chain management optimization. |
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