A fuzzy, utility-based approach for proactive policy-based management

Abstract

Policy-based Management with rules is a wide-spread approach for operations automation. However, the continuous pressure for decreasing operational costs and increasing reliability of the systems lead to new challenges. Unfortunately, current Policy-based Management Systems lack the ability to act proactively along operational objectives in an autonomous manner in order to face these challenges. In this paper, we present a Policy-based Management System based on a Fuzzy Logic System that attempts to avoid problematic system states before they occur and that is guided by operator objectives expressed as utilities. Our approach can be seen as an extension of current rule-based Policy-based Management Systems, thus, requiring a reduced implementation effort. © 2013 Springer-Verlag Berlin Heidelberg.