|Title||Predictive Analytics: A Shortcut to Dependable Computing|
|Publication Type||Conference Paper|
|Year of Publication||2017|
|Editor||Romanovsky, A., and E. A. Troubitsyna|
|Conference Name||Software Engineering for Resilient Systems|
|Publisher||Springer International Publishing|
The paper lists three major issues: complexity, time and uncertainty, and identifies dependability as the permanent challenge. In order to enhance dependability, the paradigm shift is proposed where focus is on failure prediction and early malware detection. Failure prediction methodology, including modeling and failure mitigation, is presented and two case studies (failure prediction for computer servers and early malware detection) are described in detail. The proposed approach, using predictive analytics, may increase system availability by an order of magnitude or so.