Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Performance management issues in ATM networks: traffic and congestion control
IEEE/ACM Transactions on Networking (TON)
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Introduction to Multiagent Systems
Introduction to Multiagent Systems
A Roadmap of Agent Research and Development
Autonomous Agents and Multi-Agent Systems
A knowledge plane for the internet
Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications
Diffserv network control using a behavioral multi-agent system
Network control and engineering for Qos, security and mobility II
Sophia: an Information Plane for networked systems
ACM SIGCOMM Computer Communication Review
The dawning of the autonomic computing era
IBM Systems Journal
Internet Denial of Service: Attack and Defense Mechanisms (Radia Perlman Computer Networking and Security)
WAC'05 Proceedings of the Second international IFIP conference on Autonomic Communication
Mobile agents for network management
IEEE Communications Surveys & Tutorials
Architectural principles and elements of in-network management
IM'09 Proceedings of the 11th IFIP/IEEE international conference on Symposium on Integrated Network Management
Decentralized Aggregation Protocols in Peer-to-Peer Networks: A Survey
MACE '09 Proceedings of the 4th IEEE International Workshop on Modelling Autonomic Communications Environments
An autonomic piloting plane for the handover decision optimization
NTMS'09 Proceedings of the 3rd international conference on New technologies, mobility and security
Autonomic QoS management and supervision system for home networks
WD'09 Proceedings of the 2nd IFIP conference on Wireless days
Monitoring within an autonomic network: a GANA based network monitoring framework
ICSOC/ServiceWave'09 Proceedings of the 2009 international conference on Service-oriented computing
Impact of dynamics on situated and global aggregation schemes
AIMS'11 Proceedings of the 5th international conference on Autonomous infrastructure, management, and security: managing the dynamics of networks and services
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IP networks, and particularly the Internet, were proposed to be a simple and robust support for homogeneous communications. This implies that only basic control mechanisms have to be performed by network elements. Communication management has to be performed by the terminals. However, the integration of new services and the increasing need for QoS require the network to be increasingly more flexible and adaptive. New algorithms and protocols have been proposed by many research teams to address these issues, but these new algorithms tend to make network management and control more flexible. Thus, manual configuration of such flexible and adaptive network architectures is very complex, if not impossible. Self-management is then a good opportunity to address this new complexity, and then to integrate more easily new services into the network. However, this self-management requires the equipment to carry much more knowledge and information than the actual control and management planes do. Global knowledge management schemes are therefore necessary to achieve this, including new policies for knowledge gathering, computing, sharing and providing. To address this particular need for knowledge management, several studies have proposed building a new plane, called the 'Knowledge Plane' (KP). This paper studies different propositions for this KP, and presents an original vision of what this KP should be. Our vision of the KP relies on the paradigm of situatedness. This paradigm was developed by research studies in the field of multi-agent systems, which tend to solve complex problems using collaborative and autonomous agents (multi-agent technology has been largely described in Artificial Intelligence literature). These agents in our proposition are embedded within the network elements themselves. Their role is to share local and situated knowledge composing the global KP. We have also developed, as an illustration, a distributed intrusion detection system (IDS) based on the local IDS Snort.