Massive Event Data Analysis and Processing Service Development Environment Using DFD
Yoshihide Nomura, Kosaku Kimura, Hidetoshi Kurihara, Rieko Yamamoto, Kouji Yamamoto, Susumu Tokumoto · 2012
In these days, there are a lot of massive event data appeared every day because networked devices such as smartphones and kind of sensors become very common. Every service provider intends to analyze the event data and discovers a new business rule for real time event processing service. We proposed a methodology which integrates such kind of data analysis and service development using DFD (Data Flow Diagram) which is independent from implementations, and we developed its prototype for evaluations. The methodology and the tool separate the concern of a developer and an analyst, moreover, we succeeded to confirm that the prototype tool reduced actual analysis and service development costs dramatically.