Considerations on NETCONF-Based Data Modeling
APNOMS '08 Proceedings of the 11th Asia-Pacific Symposium on Network Operations and Management: Challenges for Next Generation Network Operations and Service Management
Fuzzy awareness model for disaster situations
Intelligent Decision Technologies
Distributed control of performance management traffic with accuracy objectives
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Consistency of States of Management Data in P2P-Based Autonomic Network Management
DSOM '09 Proceedings of the 20th IFIP/IEEE International Workshop on Distributed Systems: Operations and Management: Integrated Management of Systems, Services, Processes and People in IT
Credit-based network management
COMSNETS'09 Proceedings of the First international conference on COMmunication Systems And NETworks
Credit based network management by discriminate analysis
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Proceedings of the sixteenth annual international conference on Mobile computing and networking
KSEM'10 Proceedings of the 4th international conference on Knowledge science, engineering and management
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Performance evaluation of a distributed and probabilistic network monitoring approach
Proceedings of the 8th International Conference on Network and Service Management
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Journal of Network and Systems Management
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Although network management has always played a key role for industry, it only recently received a similar level of attention from many research communities, accelerated by funding opportunities from new initiatives, including the FP7 Program in Europe and GENI/FIND in the United States. Work is ongoing to assess the state of the art and identify the challenges for future research in the field, and this article contributes to this discussion. It presents major findings from a two-day workshop organized jointly by the IRTF/NMRG and the EMANICS Network of Excellence, at which researchers, operators, vendors, and technology developers discussed the research directions to be pursued over the next five years. The workshop identified several topic areas, including management architectures, distributed real-time monitoring, data analysis and visualization, ontologies, economic aspects of management, uncertainty and probabilistic approaches, as well as understanding the behavior of managed systems.