A Gossip-Style Failure Detection Service
A Gossip-Style Failure Detection Service
Gossip-based aggregation in large dynamic networks
ACM Transactions on Computer Systems (TOCS)
IEEE/ACM Transactions on Networking (TON)
Ordered Slicing of Very Large-Scale Overlay Networks
P2P '06 Proceedings of the Sixth IEEE International Conference on Peer-to-Peer Computing
A Bandwidth Efficient Overlay for Information Exchange in Pervasive Computing Environment
CSSE '08 Proceedings of the 2008 International Conference on Computer Science and Software Engineering - Volume 03
A novel gossip-based sensing coverage algorithm for dense wireless sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Decentralized Aggregation Protocols in Peer-to-Peer Networks: A Survey
MACE '09 Proceedings of the 4th IEEE International Workshop on Modelling Autonomic Communications Environments
SSS '09 Proceedings of the 11th International Symposium on Stabilization, Safety, and Security of Distributed Systems
Gossip-based distribution estimation in peer-to-peer networks
IPTPS'08 Proceedings of the 7th international conference on Peer-to-peer systems
Gossip-based clock synchronization for large decentralized systems
SelfMan'06 Proceedings of the Second IEEE international conference on Self-Managed Networks, Systems, and Services
T-Man: gossip-based overlay topology management
ESOA'05 Proceedings of the Third international conference on Engineering Self-Organising Systems
Hi-index | 0.00 |
Future networks are becoming larger in scale, more dynamic and heterogeneous. In such environments, adaptation of algorithms in the current networking conditions is necessary in order to increase the efficiency and performance of the deployed mechanisms. Knowledge of network based parameters may facilitate the decision making processes in a dynamic environment. Self-awareness will help the network to diagnose faults and realize the current status and, thus, proceed to self-optimization actions. In this paper, a neighbour to neighbour gossiping mechanism is proposed for autonomic estimation of network based parameters. The described mechanism is evaluated in terms of message exchanges and convergence time until accurate parameters' estimation.