Software Architecture for Large-Scale, Distributed, Data-Intensive Systems

The sheer amount of data produced by modern science research has created a need for the construction and understanding of "data-intensive systems", largescale, distributed systems which integrate information. The formal nature of constructing such software systems; however, is relatively unstudied, and has been a large focus of the super-computing and distributed computing communities, rather than the software engineering communities. These data-intensive systems exhibit characteristics which appear fruitful for research from a software engineering, and software architectural focus. From our experience, the methodologies and notations for design and implementation of data-intensive systems look to be a good starting point for this important research area. This paper presents our experience with OODT, a software architectural style, and middleware-based implementation for data-intensive systems developed and maintained at the Jet Propulsion Laboratory. To date, OODT has been ...

• Type: Conference
• Year: 2004
• Where: WICSA
• Authors: Chris Mattmann, Daniel J. Crichton, J. Steven Hughes, Sean C. Kelly, Paul M. Ramirez
• Keywords: Data-intensive Systems, Software Engineering, Software Engineering Communities, WICSA 2004, WICSA 2008