SDN data center congestion control method based on Sarsa
A congestion control and data center technology, applied in the field of network communication, can solve the problems of data center network congestion, congestion, low throughput, etc., to ensure healthy development, reduce network delay, and improve throughput.
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[0053] In this embodiment, the Sarsa algorithm is introduced into the data center based on the software-defined network to solve the congestion control problem in real time. figure 1 It is a learning interaction model diagram of the algorithm model, and the basic functions of each module are: (1) Agent intelligent body module, which can be a controller, used to control the sending rate of the source end; (2) Network environment module, which is to collect all The link bandwidth occupancy of the link; (3) update module, which uses the feedback value r and Sarsa algorithm obtained by network environment changes to update the policy in real time; (4) behavior selection mapping module, which continuously updates the flow and its allocation rate during the learning process mapping table. The learning module of this embodiment adopts the improved Sarsa algorithm. When selecting an action according to the R matrix, the basic Sarsa algorithm selects the largest action among the reward...
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