Self-Healing Data Exchange Process under Evolving Schemas: A New Mapping Adaptation Approach Based on Self-Optimization

Today, more than ever, enterprises are relying on highly complex IT solutions to respond flexibly and rapidly to the constant changing business environment. Yet, the increasing complexity of IT solutions presents significant challenges. In this paper, we propose a solution to reduce the human intervention needed to maintain data exchange processes after a schema evolution (changes impacting source or target system schemas participating in a data exchange scenario). Our approach, toward reliable self-healed data exchange processes under evolving schemas, is called DEAM (Data Exchange Autonomic Manager).