Self-Healing Data Exchange Process under Evolving Schemas: A New Mapping Adaptation Approach Based on Self-Optimization
2011 IEEE 13th International Symposium on High-Assurance Systems Engineering (2011)
Boca Raton, Florida USA
Nov. 10, 2011 to Nov. 12, 2011
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/HASE.2011.42
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).
data exchange, autonomic computing, selfmanaged systems, dependability, fault tolerance, sufficient correctness, schema matching, schema mapping, mapping adaptation, machine learning
H. Lounis and H. Assoudi, "Self-Healing Data Exchange Process under Evolving Schemas: A New Mapping Adaptation Approach Based on Self-Optimization," 2011 IEEE 13th International Symposium on High-Assurance Systems Engineering(HASE), Boca Raton, Florida USA, 2011, pp. 188-190.