Title :
Autonomies in policy based network management
Author :
Siddiqui, Muhammad Shoaib ; Hong, Choong Seon ; Choi, Mi-Jung
Abstract :
In this paper, we have devised a reinforcement learning algorithm, which helps in enabling autonomic control loops in Policy based Autonomic Network Management (PBANM). We have proposed two autonomic control loops for optimal configuration and policy optimization in PBANM system. Simulations are performed to validate our proposal.
Keywords :
computer network management; fault tolerant computing; learning (artificial intelligence); PBANM system; autonomic control loops; optimal configuration; policy based autonomic network management; policy optimization; reinforcement learning algorithm; Conferences; Internet; autonomic network management; policy based network management; reinforcement learning;
Conference_Titel :
Network Operations and Management Symposium (NOMS), 2012 IEEE
Conference_Location :
Maui, HI
Print_ISBN :
978-1-4673-0267-8
Electronic_ISBN :
1542-1201
DOI :
10.1109/NOMS.2012.6212046
