Self-adaptive congestion control for multi-class intermittent transmissions in a network
Seminar Room 1, Newton Institute
AbstractThis 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.
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