Service Oriented Architecture (SOA) technology enables composition of large and complex computational units out of the available atomic services. Implementation of SOA brings about challenges which include service discovery, service interaction, service composition, robustness, quality of service, security, etc. These challenges are mainly due to the dynamic nature of SOA. SOA may often need to dynamically organizing and reorganizing its topologies of interactions between the services due to unpredictable events, such as crashes or network problems, which will cause service unavailability. The complexity and dynamism of the current global network system 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 idea in computational engineering framework. © 2010 IEEE.