Nature-Inspired Congestion Control: Using a Realistic Predator-Prey Model

Authors:
Morteza Analoui;Shahram Jamali
Affiliations:
Iran University of Science & Technology, Tehran, Iran;Iran University of Science & Technology, Tehran, Iran
Venue:
IWINAC '07 Proceedings of the 2nd international work-conference on The Interplay Between Natural and Artificial Computation, Part I: Bio-inspired Modeling of Cognitive Tasks
Year:
2007

Citing 7
Cited 1

Connections with multiple congested gateways in packet-switched networks part 1: one-way traffic

ACM SIGCOMM Computer Communication Review
Optimization flow control—I: basic algorithm and convergence

IEEE/ACM Transactions on Networking (TON)
Understanding TCP Vegas: a duality model

Journal of the ACM (JACM)
Linear stability of TCP/RED and a scalable control

Computer Networks: The International Journal of Computer and Telecommunications Networking
A theoretical study of internet congestion control: equilibrium and dynamics

A theoretical study of internet congestion control: equilibrium and dynamics
A conceptual framework for bio-inspired congestion control in communication networks

Proceedings of the 1st international conference on Bio inspired models of network, information and computing systems
REM: active queue management

IEEE Network: The Magazine of Global Internetworking

Predator-prey system: an optimiser that solves a linear programming

International Journal of Bio-Inspired Computation

Quantified Score

Hi-index	0.00

Visualization

Abstract

Nature has been a continuous source of inspiration for many successful techniques, algorithms and computational metaphors. We outline such a inspiration here, in the context of bio-inspired congestion control (BICC) algorithms. In this paper a realistic predator-prey model is mapped to the Internet congestion control mechanism. This mapping leads to a bio-inspired congestion control scheme. Dynamic and equilibrium properties of developed algorithm are good enough according to the simulation results.