A performance oriented design methodology for large-scale distributed data intensive information systems

The Earth Observing System (EOS) Data and Information System (EOSDIS) is perhaps one of the most important examples of a large-scale, geographically distributed, and data-intensive systems. Designing such systems in a way that ensures that the resulting design will satisfy all functional and performance requirements is not a trivial task. This paper presents a performance oriented methodology to design large-scale distributed data intensive information systems. The methodology is then applied to the design of the EOSDIS Core System (ECS). Performance results, based on queueing network models of ECS are also presented.