The Economics of CDNs and Their Impact on Service Fairness

Gourdin, Éric; Maillé, Patrick; Simon, Gwendal; Tuffin, Bruno

doi:10.1109/tnsm.2017.2649045

Cited by 32 publications

(10 citation statements)

References 33 publications

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“…Much of this literature makes the assumption that CPs have an incentive to cache contents close to end-users in the form of improved QoE, either through reduced latency or enhanced throughput. This is the case of recent work by Gourdin et al [31], Mitra et al [32], Mitra and Sridhar [33] and Douros et al [19], for example. We disagree that QoE is a sufficiently discriminating criterion since latency in the access network is hardly impacted by negligible differences in propagation time while throughput and storage access times can and should be controlled by adequate provisioning.…”

Section: Related Workmentioning

confidence: 82%

Cache Subsidies for an Optimal Memory for Bandwidth Tradeoff in the Access Network

Ahmadi

Roberts

Leonardi

et al. 2020

IEEE J. Select. Areas Commun.

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While the cost of the access network could be considerably reduced by the use of caching, this is not currently happening because content providers (CPs), who alone have the detailed demand data required for optimal content placement, have no natural incentive to use them to minimize access network operator (ANO) expenditure. We argue that ANOs should therefore provide such an incentive in the form of direct subsidies paid to the CPs in proportion to the realized savings. We apply coalition game theory to design the required subsidy framework and propose a distributed algorithm, based on Lagrangian decomposition, allowing ANOs and CPs to collectively realize the optimal memory for bandwidth tradeoff. The considered access network is a cache hierarchy with per-CP central office caches, accessed by all ANOs, at the apex, and per-ANO dedicated bandwidth and storage resources at the lower levels, including wireless base stations, that must be shared by multiple CPs.

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Section: Related Workmentioning

confidence: 82%

Cache Subsidies for an Optimal Memory for Bandwidth Tradeoff in the Access Network

Ahmadi

Roberts

Leonardi

et al. 2020

IEEE J. Select. Areas Commun.

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“…Pricing employed by the CDN affects how much content the CP places at the edge, which in turn impacts ISP costs and user-perceived performance. The work [97] studies revenuemaximizing CDN policies, while [98] proposes a flexible CDN pricing method. It was shown in [99] that a revenue-seeking cache owner should offer both best effort and guaranteed content delivery services.…”

Section: G Caching Economicsmentioning

confidence: 99%

The Role of Caching in Future Communication Systems and Networks

Paschos

Iosifidis

Tao

et al. 2018

IEEE J. Select. Areas Commun.

238

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This paper has the following ambitious goal: to convince the reader that content caching is an exciting research topic for the future communication systems and networks. Caching has been studied for more than 40 years, and has recently received increased attention from industry and academia. Novel caching techniques promise to push the network performance to unprecedented limits, but also pose significant technical challenges. This tutorial provides a brief overview of existing caching solutions, discusses seminal papers that open new directions in caching, and presents the contributions of this Special Issue. We analyze the challenges that caching needs to address today, considering also an industry perspective, and identify bottleneck issues that must be resolved to unleash the full potential of this promising technique.

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“…Clearly, recommendations that favor cached items can lead to increased cache hits and reduced delivery costs. In fact, requests that entail retrieving contents from a cache deep in the network or even the CP's origin server, can significantly push up the operational costs of the CDN [3]. This is a promising area of research with recent works proposing cachefriendly or network-friendly recommendation policies (e.g., [4], [5]), or even policies that jointly optimize caching and recommendation decisions (e.g., [6], [7]).…”

Section: A Motivation and Related Workmentioning

confidence: 99%

Split the cash from cache-friendly recommendations

Tsigkari

Iosifidis

Spyropoulos

2021

2021 IEEE Global Communications Conference (GLOBECOM)

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Recommender systems have been established as a key component of video streaming services, shaping up to 80% of content requests. Hence, recommendations are employed by the Content Providers (CPs) of these services to increase the viewing time and their revenues. Furthermore, it has been recently suggested that recommendations could be a means to reduce the operational costs of the Content Delivery Networks (CDNs) when they are related to already cached items, i.e., when they are cache-friendly. Clearly, these conflicting objectives, i.e., increasing revenue for the CP and reducing costs for the CDN, can create tensions between the two entities, and hence, prevent the full utilization of recommendations. In this work, we propose a model for capturing these tradeoffs, and an economic mechanism, based on the Nash bargaining solution, for reconciling the potentially conflicting objectives of the CP and the CDN. Our scheme enables the CP and CDN to jointly design the recommendations in a way that balances the revenue gains and cost savings, ensuring a fair and Pareto optimal split of the accrued benefits for both entities. Our numerical experiments in realistic scenarios show that the proposed scheme leads to important financial gains of up to 30%.• We propose a novel approach for using recommendations in OTT services using a hybrid revenue -cost criterion.1 Another interesting direction would be to model a collaboration where the two entities decide on both the recommendations and caching allocation. However, such an approach would require a better (and non-trivial) coordination among the two entities that we plan to address in future work.

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The Economics of CDNs and Their Impact on Service Fairness

Cited by 32 publications

References 33 publications

Cache Subsidies for an Optimal Memory for Bandwidth Tradeoff in the Access Network

Cache Subsidies for an Optimal Memory for Bandwidth Tradeoff in the Access Network

The Role of Caching in Future Communication Systems and Networks

Split the cash from cache-friendly recommendations

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