Data networks
Fair end-to-end window-based congestion control
IEEE/ACM Transactions on Networking (TON)
Impact of fairness on Internet performance
Proceedings of the 2001 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Internet growth: is there a "Moore's law" for data traffic?
Handbook of massive data sets
Telecom: Edholm's law of bandwidth
IEEE Spectrum
Bandwidth-sharing networks in overload
Performance Evaluation
Congestion Pricing and Noncooperative Games in Communication Networks
Operations Research
An axiomatic theory of fairness in network resource allocation
INFOCOM'10 Proceedings of the 29th conference on Information communications
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When a communication network's capacity increases, it is natural to want the bandwidth allocated to increase to exploit this capacity. But, if the same relative capacity increase occurs throughout the network, it is also natural to want each user to see the same relative benefit, so the bandwidth allocated remains proportional. We will be interested in bandwidth allocations which scale in this iso-elastic manner and, also, maximize a utility function. In this paper, we present results that show, in many settings, the only iso-elastic utility functions are weighted @a-fair utility functions, which have gained wide popularity in the networking literature. Hence, a control protocol that is robust to the relative increases in network capacity and usage ought to allocate bandwidth in order to maximize a weighted @a-fair utility function.