1,164 research outputs found

    Value Creation in a QoE Environment

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    User behavior of multimedia services currently undergoes strong changes. This is reflected in several recent trends, e.g. the increase of rich media content consumption, preferences for more individual and personalized services and the higher sensitivity of end users for quality issues. These changes will eventually lead to strong changes in network traffic characteristics: rising congestion in peak times and less availability of bandwidth for the individual user. As a result, the quality as perceived by the end-user will decrease if network operators and service providers do not anticipate the required changes for the network. Measurable network requirements such as available video and speech quality, security and reliability are addressed by technologies that are commonly summed up in the Quality of Service (QoS) concept. However, the end-users' perception of quality is only reflected in the wider concept of Quality of Experience (QoE). This takes the measurable network requirements into account as well as customer needs, wants and preferences. For the implementation of QoE technologies several network components need to be added or changed resulting in high capital expenditures. Yet, it is not clear if these costs can be compensated with efficiency increases. Thus, new revenue streams for the network operator are necessary to incentivize investments in QoE technologies. In this paper we address four new value creation models that can serve as basis for more elaborated business models for network operators and other actors. We show how interest in QoE of the user, the content provider, the service provider and the advertiser induces new revenue streams. These models are embedded in five possible future QoE scenarios that reveal regulation, end user quality sensibility and end-to-end support as major issues for the future. --Business Models,Quality of Experience (QoE),Quality of Service (QoS),Value Creation

    A Stock Options Metaphor for Content Delivery Networks

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    The concept of Stock Options is used to address the scarcity of resources, not adequately addressed by the previous tools of our Prediction Mechanism. Using a Predictive Reservation Scheme, network and disk resources are being monitored through well-established techniques (Kernel Regression Estimators) in a given time frame. Next, an Secondary Market mechanism significantly improves the efficiency and robustness of our Predictive Reservation Scheme by allowing the fast exchange of unused (remaining) resources between the Origin Servers (CDN Clients). This exchange can happen, either by implementing socially optimal practices or by allowing automatic electronic auctions at the end of the day or at shorter time intervals. Finally, we further enhance our Prediction Mechanism; Stock Options are obtained and exercised, depending on the lack of resources at the end of day. As a result, Origin Servers may acquire resources (if required) at a normal price. The effectiveness of our mechanism further improves.Comment: 35 pages, 13 figure

    QUALITY OF SERVICE DELIVERY: ECONOMIC EFFECTS OF MULTI-HOMING AND CONTENT DELIVERY NETWORKS

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    The structure of the Internet serves as a big commoditizer of all traffic. Therefore all data, be it time critical or not is transported at the same speed. However, recent trends in the internet are changing this structure. The practices of multi-homing and using content delivery networks reduce the commodity nature of data being transported and put terminating Internet service providers in a position to price discriminate against specific providers or types of traffic. We firstly formalize multi-homing and content delivery networks, we then derive end user prices for paid content and lastly show consequences of the modeled situation. We thus show how the two technologies to bypass crowded peerings change the Internet business model. Traffic which is sensitive to transport quality, such as business critical or delay sensitive traffic, will be paying higher fees to terminating ISPs

    Vertical Platform Interaction on the Internet: How ISPS and CDNS Interact

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    Contend delivery networks (CDN) are important players on the Internet. They provide services towebsites that improve the quality of service (QoS) and provide end users (EU) with a betterexperience, i.e. faster loading web pages. CDNs can be seen as platforms that cater for two distinctgroups of customers. On the one side, they have content providers (CP), i.e. web sites; on the otherside they need to collaborate with Internet service providers (ISP) to reach EUs. We construct aformal model that demonstrates the pricing decisions of ISPs and CDNs and contrast it to thestandard types of pricing Internet access and traffic. As a modelling tool we use theory on two-sidedmarkets and bottleneck platforms. We find that ISPs have relatively high market power and extractprofits from CDNs to compete for EUs

    The growing complexity of content delivery networks: Challenges and implications for the Internet ecosystem

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    Since the commercialization of the Internet, content and related applications, including video streaming, news, advertisements, and social interaction have moved online. It is broadly recognized that the rise of all of these different types of content (static and dynamic, and increasingly multimedia) has been one of the main forces behind the phenomenal growth of the Internet, and its emergence as essential infrastructure for how individuals across the globe gain access to the content sources they want. To accelerate the delivery of diverse content in the Internet and to provide commercial-grade performance for video delivery and the Web, Content Delivery Networks (CDNs) were introduced. This paper describes the current CDN ecosystem and the forces that have driven its evolution. We outline the different CDN architectures and consider their relative strengths and weaknesses. Our analysis highlights the role of location, the growing complexity of the CDN ecosystem, and their relationship to and implications for interconnection markets.EC/H2020/679158/EU/Resolving the Tussle in the Internet: Mapping, Architecture, and Policy Making/ResolutioNe

    Impact of the Net Neutrality Repeal on Communication Networks

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    Network neutrality is the principle of treating equally all Internet traffic regardless of its source, destination, content, application or other related distinguishing metrics. Under net neutrality, Internet service providers (ISPs) are compelled to charge all content providers (CPs) the same per Gbps rate despite the growing profit achieved by CPs. In this paper, we study the impact of the repeal of net neutrality on communication networks by developing a techno-economic Mixed Integer Linear Programming (MILP) model to maximize the potential profit ISPs can achieve by offering their services to CPs. We consider an ISP that offers CPs different classes of service representing typical video content qualities. The MILP model maximizes the ISP profit by optimizing the prices of the different classes according to the users’ demand sensitivity to the change in price, referred to as Price Elasticity of Demand (PED). We analyze how PED impacts the profit in different CP delivery scenarios in cloud-fog architectures. The results show that the repeal of net neutrality can potentially increase ISPs profit by a factor of 8 with a pricing scheme that discriminates against data intensive content. Also, the repeal of net neutrality positively impacts the network energy efficiency by reducing the core network power consumption by 55% as a result of suppressing data intensive content compared to the net neutrality scenario
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