Autonomic, Self-Organizing Services-Oriented Architecture in Service Ecosystem

Service Oriented Architecture (SOA) technology
enables composition of large and complex computational units
out of the available atomic services. Implementation of SOA
brings about many challenges – in terms of service discovery,
service interaction, service composition, robustness, quality of
service, etc – due to the dynamic nature of SOA. SOA may often
need to dynamically (re)organizing its topologies of interactions
between the services due to unpredictable events, such as crashes
or network problems, which will cause services unavailability.
The complexity and dynamism of the current global digital
network systems require architecture that capable of
autonomously changing its structure and functionality to meet
dynamic changes in the requirements and environment with little
human intervention. In this paper, we elaborate the idea of
adapting the autonomic computing paradigm into SOA in order
to meet those challenges, and we present a case study of the
framework in computational engineering.