Improving Verification and Validation Process of Autonomic Systems with the Help of System Performance Feedback and Stochastic Optimal Control

摘要

In the world of business, proposal evaluation and vendor performance management processes involve business intelligence techniques to determine the best value at an instance in a dynamic environment engulfed with massive uncertainty. Business intelligence techniques are saving billions of dollars for business organizations. Cellular biological systems use signal transduction processes at the molecular level to render self sustaining autonomic systems. Smartest evaluation and management models work as control systems where feedback signals are used to correct and continuously improve the models in real time dynamic environment. Aerospace autonomic systems deal with scenarios as complex and dynamic as the proposal evaluation and vendor management processes as well as autonomic biological systems. Here, we show how business intelligence techniques and systems biology principles can be reoriented to address the challenge of dynamic verification and validation processes in autonomic systems with the help of system performance feedback and stochastic optimal control. Lessons learned from business intelligence systems and self sustaining autonomic biological systems provide insights to design and development of intelligent self sustaining optimal verification and validation processes for aerospace autonomic systems.