Advanced Linux Programming
Operating Systems Design and Implementation (3rd Edition)
Operating Systems Design and Implementation (3rd Edition)
VLBI_UDP: An application for transporting VLBI data using the UDP protocol
Future Generation Computer Systems
Extending applications using an advanced approach to DLL injection and API hooking
Software—Practice & Experience
Bioinformatics
Incremental Information Extraction Using Relational Databases
IEEE Transactions on Knowledge and Data Engineering
A scientific data extraction architecture using classified metadata
The Journal of Supercomputing
A formal framework for query decomposition and knowledge integration in data warehouse federations
Expert Systems with Applications: An International Journal
Solutions in XML data exchange
Journal of Computer and System Sciences
A virtual mart for knowledge discovery in databases
Information Systems Frontiers
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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.