Predictive Analytics: A Shortcut to Dependable Computing
Additional information
Authors
Type
Article in conference proceedings
Year
2017
Language
English
Abstract
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.
Conference proceedings
Software Engineering for Resilient Systems
Publisher
Springer International Publishing
Meeting place
Cham
ISBN
978-3-319-65948-0
