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Submitted to IEEE electronic Transactions on Network and Service Management (eTNSM)

We argue that effective management of future large and dynamic networks must be based on adaptive, decentralized control, in order to overcome the drawbacks of today’s management systems with centralized and static structures. The challenge in engineering decentralized management systems is to come up with concepts for distributing management operations in a manner that they (a) execute efficiently in large networks and (b) dynamically adapt to network failures and other changes in state and network configuration. Our approach to decentralized management systems centers around the concept of navigation patterns, which are based on graph traversal algorithms that control the execution of decentralized management operations. We present our research in decentralized management, from the concept of the navigation pattern, via the implementation of a management platform built around this concept, to the realization of a real-time monitoring capability designed to be effective in large and dynamic network environments.