Design and performance of cognitive packet networks
Performance Evaluation
Networks with Cognitive Packets
MASCOTS '00 Proceedings of the 8th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems
Cognitive Packet Networks: QoS and Performance
MASCOTS '02 Proceedings of the 10th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems
Using adaptive routing to achieve quality of service
Performance Evaluation
An Autonomic Approach to Denial of Service Defence
WOWMOM '05 Proceedings of the First International IEEE WoWMoM Workshop on Autonomic Communications and Computing (ACC'05) - Volume 02
Autonomous Smart Routing for Network QoS
ICAC '04 Proceedings of the First International Conference on Autonomic Computing
A survey of autonomic communications
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
A self-aware approach to denial of service defence
Computer Networks: The International Journal of Computer and Telecommunications Networking
Admission of QoS aware users in a smart network
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Steps toward self-aware networks
Communications of the ACM - Barbara Liskov: ACM's A.M. Turing Award Winner
The Computer Journal
Random neural networks for the adaptive control of packet networks
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
Distributed defence against denial of service attacks: a practical view
VoCS'08 Proceedings of the 2008 international conference on Visions of Computer Science: BCS International Academic Conference
Energy packet networks: adaptive energy management for the cloud
Proceedings of the 2nd International Workshop on Cloud Computing Platforms
Energy packet networks: smart electricity storage to meet surges in demand
Proceedings of the 5th International ICST Conference on Simulation Tools and Techniques
Strengthening the security of cognitive packet networks
International Journal of Advanced Intelligence Paradigms
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The need for network stability and reliability has led to the growth of autonomic networks that can provide more stable and more reliable communications via on-line measurement, learning and adaptation. A promising architecture is the Cognitive Packet Network (CPN) that rapidly adapts to varying network conditions and user requirements using QoS driven reinforcement learning algorithms that drive the routing control. Contrary to conventional mechanisms, the users rather than the nodes, control the routing by specifying their desired QoS requirements (QoS Goals), such as Minimum Delay, Maximum Bandwidth, Minimum Cost, etc., and the network then routes each user's traffic individually based on their specific needs and on a "glocal" view. In CPN the user has the ability to explore the network for its own needs, and evaluate its own impact on the network as a whole and vice-versa, and then take appropriate decisions. CPN routing has been evaluated extensively under normal operating conditions and has proven to be very adaptive to network changes such as congestion. Here we show how CPN can respond and survive to catastrophic node failures caused by the spread of network worms. This survival is based on two complementary approaches that are run concurrently: one the one hand, each user attempts to concurrently and adaptively avoid paths which are infected, and secondly patching algorithms are continuously run to repair the network. Experiments show that this approach assures the stability of network communications throughout the course of an attack.