Title :
Self-Healing Data Exchange Process under Evolving Schemas: A New Mapping Adaptation Approach Based on Self-Optimization
Author :
Assoudi, H. ; Lounis, H.
Author_Institution :
Dept. d´´Inf., Univ. du Quebec a Montreal, Montreal, QC, Canada
Abstract :
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).
Keywords :
business data processing; electronic data interchange; fault tolerant computing; management of change; optimisation; DEAM; complex IT solution; constant changing business environment; data exchange autonomic manager; mapping adaptation approach; self-healing data exchange process; self-optimization; target system schema evolution; Accuracy; Availability; Degradation; Humans; Machine learning; Real time systems; autonomic computing; data exchange; dependability; fault tolerance; machine learning; mapping adaptation; schema mapping; schema matching; selfmanaged systems; sufficient correctness;
Conference_Titel :
High-Assurance Systems Engineering (HASE), 2011 IEEE 13th International Symposium on
Conference_Location :
Boca Raton, FL
Print_ISBN :
978-1-4673-0107-7
DOI :
10.1109/HASE.2011.42
