Congestion avoidance and control
SIGCOMM '88 Symposium proceedings on Communications architectures and protocols
Connections with multiple congested gateways in packet-switched networks part 1: one-way traffic
ACM SIGCOMM Computer Communication Review
TCP/IP illustrated (vol. 1): the protocols
TCP/IP illustrated (vol. 1): the protocols
Random early detection gateways for congestion avoidance
IEEE/ACM Transactions on Networking (TON)
The macroscopic behavior of the TCP congestion avoidance algorithm
ACM SIGCOMM Computer Communication Review
Optimization flow control—I: basic algorithm and convergence
IEEE/ACM Transactions on Networking (TON)
Modeling TCP Reno performance: a simple model and its empirical validation
IEEE/ACM Transactions on Networking (TON)
Fluid-based analysis of a network of AQM routers supporting TCP flows with an application to RED
Proceedings of the conference on Applications, Technologies, Architectures, and Protocols for Computer Communication
A control theoretic approach to active queue management
Computer Networks: The International Journal of Computer and Telecommunications Networking
Understanding TCP Vegas: a duality model
Journal of the ACM (JACM)
Design of a robust active queue management algorithm based on feedback compensation
Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications
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
Congestion Control in the Internet: Inspiration from Balanced Food Chains in the Nature
Journal of Network and Systems Management
Predator-prey system: an optimiser that solves a linear programming
International Journal of Bio-Inspired Computation
Hi-index | 0.00 |
In this paper we present a new aspect of human kind life that is the Internet. We call this new ecosystem IBE (Internet Biologic Environment). As a first step in modeling of IBE we view it from point of congestion control and develop an algorithm that utilizes some aspects of biologically inspired mathematical models as a nontraditional approach to design of congestion control in communication networks. We show that the interaction of those Internet entities that involved in congestion control mechanisms is similar to predator-prey and competition interactions. We combine the mathematical models of predator-prey and competition interactions to obtain a hybrid model and apply it in congestion control issue. Simulation results show that using appropriately defined parameters, this model leads to a stable, fair and high-performance congestion control algorithm.