Congestion-aware internet pricing for media streaming

Niu, Di; Li, Baochun

doi:10.1109/infcomw.2014.6849294

Cited by 13 publications

(4 citation statements)

References 8 publications

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“…For example, in Ren et al [21], the authors point out that the online popularity is a significant effecting factor on videos in online systems; in Iveroth et al [22], competitors' price is a base factor for deciding; in Choi et al [23], they imply that discount on price can have effect on the sales of information goods; in another study, Niu and Li [24] suggest for the Internet service providers a price model depending on the congestion of Internet. (ii) Model validation: our time-continuous model should fit the data collected in real world, identify model coefficients, and validate other sets of data.…”

Section: Resultsmentioning

confidence: 99%

Two-Stage Dynamic Pricing and Advertising Strategies for Online Video Services

Tan

2017

Discrete Dynamics in Nature and Society

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As the demands for online video services increase intensively, the selection of business models has drawn the great attention of online providers. Among them, pay-per-view mode and advertising mode are two important resource modes, where the reasonable fee charge and suitable volume of ads need to be determined. This paper establishes an analytical framework studying the optimal dynamic pricing and advertising strategies for online providers; it shows how the strategies are influenced by the videos available time and the viewers' emotional factor. We create the two-stage strategy of revenue models involving a single fee mode and a mixed fee-free mode and find out the optimal fee charge and advertising level of online video services. According to the results, the optimal video price and ads volume dynamically vary over time. The viewer's aversion level to advertising has direct effects on both the volume of ads and the number of viewers who have selected low-quality content. The optimal volume of ads decreases with the increase of ads-aversion coefficient, while increasing as the quality of videos increases. The results also indicate that, in the long run, a pure fee mode or free mode is the optimal strategy for online providers.

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Section: Resultsmentioning

confidence: 99%

Two-Stage Dynamic Pricing and Advertising Strategies for Online Video Services

Tan

2017

Discrete Dynamics in Nature and Society

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“…On the other hand, reference presents a simple congestion pricing model for operators to charge media streaming providers (e.g., Netflix) based on the bandwidth‐delay product on each overlay link (either server‐to‐server or server‐to‐user) that the media streaming provider has chosen to use. Because shared data is now a popular plan, reference devises analytical models and compares a simple shared data plan (also called bundling pricing) with single device data plans (also called partitioned pricing).…”

Section: Preliminariesmentioning

confidence: 99%

An adaptive Paris Metro Pricing scheme for mobile data networks

Huang

Lee

et al. 2016

Int J Network Mgmt

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Summary Because static pricing models (such as flat‐rate or tiered‐rate models) cannot improve user utility for subscribers and ease network congestion for operators during peak time, Smart Data Pricing has become an important incentive for mobile data markets. Paris Metro Pricing (PMP), which is a static pricing mode inspired by the pricing model for the Paris metro system, uses differentiated prices to motivate users to choose different train classes. Before choosing a class, people will consider their expected quality of service versus the prices that they are willing to pay. Even though PMP cannot guarantee the actual quality of service during service time, a balance between users' utilities and operators' revenue is achieved. In this paper, we propose an adaptive PMP scheme, so‐called APMP, which determines the dynamic access prices of different classes for the next 24 h. The accessible prices should try to increase the revenue while operators can serve more subscribers. Our simulation results show that APMP can significantly improve total revenue and average revenue per user for the operator. Copyright © 2016 John Wiley & Sons, Ltd.

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“…Al-Manthari et al survey recent congestion pricing techniques for wireless cellular networks [24], which verifies that congestion pricing can reduce congestion and generate higher revenues for network operators. Niu et al present a congestion pricing model to charge media streaming operators based on the bandwidth-delay product on each overlay link [25]. Khabazian et al study a mechanism by which the femto and macro capacity resources are jointly priced according to a dynamic pricing-based call admission mechanism [26].…”

Section: Introductionmentioning

confidence: 99%

A refunding strategy: opportunistic user association with congestion-based pricing in macro-femto hybrid network

Wang

et al. 2017

J Wireless Com Network

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Femtocell technology addresses the severe problems of poor network capacity and indoor coverage. Meanwhile, the emergence of high-capacity air interfaces and dense deployment of small cells result in increasingly high backhaul cost in cellular wireless networks. Purchasing on leased lines can guarantee the service provision during busy hours, however, purchased capacity goes to waste in off-peak time. Hybrid mode is the most promising one among all femtocell access modes which allows macro users to associate with adjacent femtocells with idle bandwidth resources. Femto holder (FH) is egoistic and unwilling to share bandwidth with transferred users from macrocells without any compensation, thus the successful implementation of hybrid access becomes a challenging problem. In this paper, we present an economic refunding framework to motivate hybrid access in femtocells. Macro users can opportunistically associate with adjacent femtocells with excess backhaul capacity. FH can receive certain refunding from wireless service provider (WSP) in exchange for traffic offloading. FH employs congestion pricing policy so as to control the cell load in the femtocell. Within this framework, we design a general utility maximization problem for user association that enables macro users to associate with femtocells based on traffic status, cell load, and access price. Dual decomposition is used to obtain an approximate solution. The impact of congestion pricing on the aggregate throughput and load balancing is also analyzed. Extensive simulations show the proposed scheme achieves a remarkable throughput gain compared with that with no compensation and compensation with usage-based pricing policy. Load balancing is substantially improved as well.

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Congestion-aware internet pricing for media streaming

Cited by 13 publications

References 8 publications

Two-Stage Dynamic Pricing and Advertising Strategies for Online Video Services

Two-Stage Dynamic Pricing and Advertising Strategies for Online Video Services

An adaptive Paris Metro Pricing scheme for mobile data networks

A refunding strategy: opportunistic user association with congestion-based pricing in macro-femto hybrid network

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