The Feed Analyzer: Implementation and Evaluation
Sahar Bazargani, Julian Brinkley, Nasseh Tabrizi
Journal of Digital Information Management, Vol. 12, No. 6, 2014.
DOI: 
Link: http://dline.info/fpaper/jdim/v12i6/9.pdf
Abstract:
Modern society is producing more information at a faster pace than ever before; data which
is increasingly used to solve a variety of real world problems. But given the vast size of the data involved and the resource intensive nature of rapid large-data processing, the need for more advanced methodologies in this regard is growing. This phenomenon has given rise to the term Big Data which references the types of data
intensive problems that are typically beyond the ability of traditional tools and methodologies to effectively manage. This paper outlines the use of agent-oriented software engineering methodologies and commercial cloud technology in the development of a system designed to
address one of these many Big Data problems. The Feed Analyzer is a conceptual search based Web feed aggregation system deployed to Microsoft Windows Azure cloud platform. We discuss the implementation and evaluation of this system with the primary goal of contributing to the body of knowledge a practical means by which a Big Data problem may be addressed using cloud technologies.