Application of Bayesian Networks for Autonomic Network Management

摘要: The ever evolving telecommunication networks in terms of their technology, infrastructure, and supported services have always posed challenges to the network managers come up with an efficient Network Management System (NMS) for effective management. need automated management current networks, more specifically Next Generation (NGN), is subject addressed this research. A detailed description context presented then work enlists desired features characteristics NMS. It proposes that there a apply Artificial Intelligence (AI) Machine Learning (ML) approaches enhancing automating functions first contribution comprehensive survey AI ML applied domain NM. second it presents reasoning evidence support choice Bayesian Networks (BN) as viable solution ML-based final implements three novel NM solutions based on BN approach, namely BN-based Admission Control (BNAC), Distributed (BNDAC) Intelligent Traffic Engineering (BNITE), along algorithms underpinning proposed framework.