Application of sampling methodologies to network traffic characterization
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OpenFlow: enabling innovation in campus networks
ACM SIGCOMM Computer Communication Review
Architectural principles and elements of in-network management
IM'09 Proceedings of the 11th IFIP/IEEE international conference on Symposium on Integrated Network Management
MANNA: a management architecture for wireless sensor networks
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ANMP: ad hoc network management protocol
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Performance evaluation of a distributed and probabilistic network monitoring approach
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Service Abstractions With Fault Virtualization for Distributed Network Infrastructures
DS-RT '13 Proceedings of the 2013 IEEE/ACM 17th International Symposium on Distributed Simulation and Real Time Applications
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This work proposes a probabilistic management paradigm for solving some major challenges of decentralized network management. Specifically, we show how to cope with 1) the overhead of redundant information gathering and processing, 2) the decentralized management in dynamic and unpredictable environments, and 3) the considerable effort required for decentralized coordination of management functions. To this end, we describe a framework for probabilistic decentralized management in the context of In-Network Management (INM). We demonstrate how this framework can be applied to a network of information, a novel clean-slate approach towards an information-centric future Internet. We show by means of a simulation study in the area of performance and fault management that we can significantly reduce the effort and resources dedicated to management, while we are able to achieve a sound level of accuracy of the overall network view.