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We use transit pricing data from Telegeography (2012) and peering cost per Mbps data from Amsterdam IXP (2012).
Two profit maximization models, which account for the effects of different transit pricing structures (flat and distance-based fare regimes), are proposed.
In addition, several practically important modeling issues are discussed, such as dynamic and personalized transit pricing, passenger inflow control as part of network restraint strategies, and penalty for early/late arrival.
We do not assign a business function to agents a priori; an agent may act as a transit provider, content/access provider, enterprise organization, or any combination of these functions depending on its generated/consumed traffic, transit pricing, or geographical presence.
Similar(54)
Russia has given way on transit prices, though.
The economic attributes of an agent include its transit price, transit and peering costs, transit revenue and fitness.
In addition, lower railway or transit prices to increase the transit ridership.
In addition, lower railway or transit prices to increase the transit ridership 2.
Additionally, ASes differ in geographic size (expanse) and economic parameters (e.g., transit prices).
The geographic locations, transit prices and traffic flow of each agent remain constant during the timescales of interest in this model.
Transit price (the 9th topic of street transit, the 10th topic of semi-rapid transit, the 9th topic of rapid transit, the 8th topic of other transits in Table 3). 5.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com