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A generic framework for data acquisition and transmission
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AI
DOI：10.1016/j.advengsoft.2013.11.003.png)
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摘要
En 中文
Online applications such as decision support systems depend on data collected from multiple sources. We develop a generic data acquisition and transmission framework by modularizing the repetitive functions. Other than data acquisition and distribution with necessary transformation, the framework can act as a middle storage when the sources cannot connect to the destination directly. We designed three types of data extractors to accommodate the data acquisition from the file system, the net protocol and the database. After being collected by the extractors, the data is processed by an assembler module, to fit the target's data structure. The data is inserted into the database by a loader module, which gets data from the assembler module. The assembler module and the loader module are controlled by a monitor and controller module. These modules are highly configurable and they form a 3-Level hierarchy. Taking advantage of modular design and shared library technique, the framework is extensible and flexible. (C) 2013 Elsevier Ltd. All rights reserved.
Keyword:
Data acquisition and transmission
Reusable framework
Modular design
Shared library
Configuration driven
High extensibility and flexibility
期刊
IF:
5.7
论文数:
3.4K
被引数:
1.2W
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