Abstract | ||
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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. |
Year | DOI | Venue |
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2007 | 10.1007/978-3-540-76639-1_3 | T. Comp. Sys. Biology |
Keywords | Field | DocType |
congestion control issue,equation-based congestion control,hybrid model,mathematical model,competition interaction,internet entity,new aspect,internet biologic environment,high-performance congestion control algorithm,congestion control,congestion control mechanism | Slow-start,Telecommunications network,Computer science,Computer network,Bio-inspired computing,Congestion control algorithm,Network congestion,Mathematical model,The Internet | Journal |
Volume | ISBN | Citations |
8 | 3-540-76638-3 | 3 |
PageRank | References | Authors |
0.52 | 19 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Morteza Analoui | 1 | 124 | 24.94 |
Shahram Jamali | 2 | 80 | 10.42 |