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Self-adaptive congestion control for multi-class intermittent transmissions in a network

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Stochastic Processes in Communication Sciences

This study extends a previous Markovian model for permanent transmissions emitting through a network. Numerous connections (or users, customers, ...) are divided into classes by attributes such as routes, traffic characteristics, quality of service requirements, etc. An inactive connection becomes active when it acquires data to transmit, and becomes inactive again after having completed the transmission. Active connections create congestion in the network, and control it in a delocalized way, by each adjusting its output to the resulting delays and losses it incurs, using an Additive Increase, Multiplicative Decrease (AIMD) algorithm similar to TCP .

This talk is part of the Isaac Newton Institute Seminar Series series.

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