This presentation was created for the SATURN conference series and does not necessarily reflect the positions and views of the Software Engineering Institute.
Local SOA-based IT landscapes have been a research
focus for many years. However, current research does not adequately address
the needs of global SOA-based IT landscapes. This presentation focuses on
global SOA and on the complexity of global SOA-based IT landscapes.
To analyze global SOA-based IT landscapes, we use the
concept of solution space, which represents all possible design solutions under
given design rules. To measure the complexity of global SOA-based
IT landscapes, we propose a new metric: maximum system variety. Maximum system
variety shows the maximum cumulative component dependency that a system can
achieve under given design rules.
Based on an example, we show how this metric can be used for
selecting design rules for reducing system complexity. Identifying and
combining such design rules are required for finding a viable setup for a
global SOA-based IT landscape. We propose to combine these design rules in a
This presentation was given at SATURN 2011 in Burlingame, CA.