Title :
Towards Policy Decomposition for Autonomic Systems Governance by Applying Biologically Inspired Techniques.
Author :
Keeney, John ; Wade, Vincent
Author_Institution :
Sch. of Comput. Sci. & Stat., Trinity Coll. Dublin, Dublin
Abstract :
Policy-based management systems use declarative rules to govern their operation whilst satisfying the goals of the system. One of the fundamental issues in policy engineering remains the inability to automatically refine high-level goals to low level achievable goals, many of which will be interdependent and conflicting. This paper introduces the automated decomposition and refinement of management policies through the optimisation of balancing constraints by the innovative integration metaheuristic algorithms.
Keywords :
adaptive systems; computer network management; optimisation; automated management policy decomposition; automated management policy refinement; autonomic system governance; biologically inspired techniques; innovative integration metaheuristic algorithms; multiobjective optimisation; network management; policy-based management systems; Computer science; Constraint optimization; Data engineering; Educational institutions; Engineering management; Humans; Innovation management; Knowledge management; Multidimensional systems; Statistics;
Conference_Titel :
Network Operations and Management Symposium Workshops, 2008. NOMS Workshops 2008. IEEE
Conference_Location :
Salvador da Bahia
Print_ISBN :
978-1-4244-2067-4
DOI :
10.1109/NOMSW.2007.48