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Conference Paper PaaS Offering for the Big Data Analysis of Each Individual APC
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Authors
Hyeon Park, Eun-Ju Lee, Dae-Heon Park, Jee-Sook Eun, Se-Han Kim
Issue Date
2016-10
Citation
International Conference on Information and Communication Technology Convergence (ICTC) 2016, pp.30-32
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICTC.2016.7763427
Abstract
Application developers who work in the agricultural sector usually develop the application SW, for example, ERP (Enterprise Resource Planning), for farm product companies such as APCs (Agricultural Product Processing Center). However, they are faced with some problems to meet their requirements according to increasing numbers of APC. Each individual APC wants to get the accurate result of forecasting about the supply and demand of the agriculture products using its own data, the crop yield and price. Thus, the appropriate development environment and analysis model for each individual APC must be considered. This paper aims to offer the platform service, PaaS, for the application developer. It facilitates the use of various development environments, which enable to protect the APC own information and to easily develop applications for big data analysis. We implemented PaaS platform for the agriculture sector using VM (Virtual Machine) instances and API (Application Programming Interface) components.
KSP Keywords
Agricultural products, Agricultural sector, Agriculture Products, Agriculture sector, Analysis Model, Application programming interface, Big Data analysis, Development environment, Enterprise Resource Planning, Farm product, Platform service