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Cognitive Congestion Control for Data Portals with Variable Link Capacity
2012
International Journal of Communications, Network and System Sciences
Network congestion, one of the challenging tasks in communication networks, leads to queuing delays, packet loss, or the blocking of new connections. In this study, a data portal is considered as an application-based network, and a cognitive method is proposed to deal with congestion in this kind of network. Unlike previous methods for congestion control, the proposed method is an effective approach for congestion control when the link capacity and information inquiries are unknown or variable.
doi:10.4236/ijcns.2012.58058
fatcat:jkw6s7plozc6lpx5wllh6e67uq