Article ID: | iaor20081978 |
Country: | Netherlands |
Volume: | 42 |
Issue: | 4 |
Start Page Number: | 2164 |
End Page Number: | 2185 |
Publication Date: | Jan 2007 |
Journal: | Decision Support Systems |
Authors: | Rao H. Raghav, Sharman Raj, Ghosh Debanjan, Upadhyaya Shambhu |
As modern software-based systems and applications gain in versatility and functionality, the ability to manage inconsistent resources and service disparate user requirements becomes increasingly imperative. Furthermore, as systems increase in complexity, rectification of system faults and recovery from malicious attacks become more difficult, labor-intensive, expensive, and error-prone. These factors have actuated research dealing with the concept of self-healing systems. Self-healing systems attempt to ‘heal’ themselves in the sense of recovering from faults and regaining normative performance levels independently; the concept derives from the manner in which a biological system heals a wound. Such systems employ models, whether external or internal, to monitor system behavior and use inputs obtaining therefore to adapt themselves to the run-time environment. Researchers have approached this concept from several different angles. This paper surveys research in this field and proposes a strategy of synthesis and classification.