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Nonetheless, there are two unknowns in the issue that enhance the difficulty for locating an optimum pricing. On this paper, we present that a dynamic pricing exists in multi-demand markets with four gamers, multi-demand markets with at most two optimum allocations, and tri-demand markets. On this work we present two contributions: (1) we develop a novel approach of mapping traffic and topology information to a demand and value model; and (2) we fit this model on three giant actual-world networks: an European transit ISP, a content material distribution community, and an educational research network, and run counterfactuals to judge the effects of various pricing methods on both the ISP profit and the consumer surplus. Not like effectively-known prior criticism of established SCC models, together with DICE and RICE (Stern et al., 2021), we base our proposal primarily on the remark that the current model innovation process for built-in assessment fashions (IAMs) is not optimal. The primary mannequin is predicated on the assumption that the volatility elasticity is fixed, which is called constant volatility elasticity (CVE) mannequin.

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