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Arvidsson, A., van den Berg, H., Burakowski, W., Grbac, T.G., Ganchev, I., Haddad, Y., Hoßfeld, T., Key, P., Lassila, P., Leitner, P.: State of the Art and Research Challenges in the Area of Autonomous Control for a Reliable Internet of Services. Autonomous Control for a Reliable Internet of Services. Springer (2018).
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Liotou, E., Hoßfeld, T., Moldovan, C., Metzger, F., Tsolkas, D., Passas, N.: The Value of Context-Awareness in Bandwidth-Challenging HTTP Adaptive Streaming Scenarios. In: Ganchev, I., van der Mei, R.D., and van den Berg, H. (eds.) Autonomous Control for a Reliable Internet of Services: Methods, Models, Approaches, Techniques, Algorithms, and Tools. Springer International Publishing (2018).
Video streaming has become an indispensable technology in people’s lives, while its usage keeps constantly increasing. The variability, instability and unpredictability of network conditions pose one of the biggest challenges to video streaming. In this chapter, we analyze HTTP Adaptive Streaming, a technology that relieves these issues by adapting the video reproduction to the current network conditions. Particularly, we study how context awareness can be combined with the adaptive streaming logic to design a proactive client-based video streaming strategy. Our results show that such a context-aware strategy manages to successfully mitigate stallings in light of network connectivity problems, such as an outage. Moreover, we analyze the performance of this strategy by comparing it to the optimal case, as well as by considering situations where the awareness of the context lacks reliability.
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Metzger, F., Hoßfeld, T., Skorin-Kapov, L., Liotou, E., Pocta, P., Melvin, H., Siris, V., Zgank, A., Jarschel, M.: Context Monitoring for Improved System Performance and QoE. In: Ganchev, I., van der Mei, R.D., and van den Berg, H. (eds.) Autonomous Control for a Reliable Internet of Services: Methods, Models, Approaches, Techniques, Algorithms, and Tools. Springer International Publishing (2018).
Whereas some application domains show a certain consensus on the role of system factors, human factors, and context factors, QoE management of multimedia systems and services is still faced with the challenge of identifying the key QoE influence factors. In this chapter, we focus on the potential of enhancing QoE management mechanisms by exploiting valuable context information. To get a good grip on the basics we first discuss a general framework for context monitoring and define context information, including technical, usage, social, economic, temporal, and physical factors. We then iterate the opportunities and challenges in involving context in QoE monitoring solutions, as context may be, e.g., hard to ascertain or very situational. The benefits of including context in QoE monitoring and management are demonstrated through use cases involving video flash crowds as well as online and cloud gaming. Finally, we discuss potential technical realizations of context-aware QoE monitoring and management derived based on the SDN paradigm.
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Schwarzmann, S., Blenk, A., Dobrijevic, O., Jarschel, M., Hotho, A., Zinner, T., Wamser, F.: Big-Data Helps SDN to Improve Application Specific Quality of Service. Big Data and Software Defined Networks. Institution of Engineering and Technology (IET) (2018).
This chapter first provides an outline of the current results in the domains of: (a) quality-of-service (QoS) / quality-of-experience (QoE) control and management (CaM) for real-time multimedia services that is supported by software-defined networking (SDN), and (b) big data analytics and methods that are used for QoS/QoE CaM. Then, three specific use case scenarios with respect to video streaming services are presented, so as to illustrate the expected benefits of incorporating big data analytics into SDN-based CaM for the purposes of improving or optimizing QoS/QoE. In the end, we describe our vision and a high-level view of an SDN-based architecture for QoS/QoE CaM that is enriched with big data analytics' functional blocks and summarize corresponding challenges.
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Schatz, R., Schwarzmann, S., Zinner, T., Dobrijevic, O., Liotou, E., Pocta, P., Baraković, S., Baraković Husić, J., Skorin-Kapov, L.: QoE Management for Future Networks. Autonomous Control for a Reliable Internet of Services: Methods, Models, Approaches, Techniques, Algorithms and Tools. Springer (2018).
This chapter discusses prospects of QoE management for future networks and applications. After motivating QoE management, it first provides an introduction to the concept by discussing its origins, key terms and giving an overview of the most relevant existing theoretical frameworks. Then, recent research on promising technical approaches to QoE- driven management that operate across different layers of the networking stack is discussed. Finally, the chapter provides conclusions and an outlook on the future of QoE management with a focus on those key enablers (including cooperation, business models and key technologies) that are essential for ultimately turning QoE-aware network and application management into reality.
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Archambault, D., Purchase, H.C., Hoßfeld, T.: Evaluation in the Crowd: An Introduction. Evaluation in the Crowd. Crowdsourcing and Human-Centered Experiments. Springer, Cham (2017).
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Martin, D., Carpendale, S., Gupta, N., Hoßfeld, T., Naderi, B., Redi, J., Siahaan, E., Wechsung, I.: Understanding The Crowd: Ethical and Practical Matters in the Academic Use of Crowdsourcing. In: Archambault, D., Hoßfeld, T., and Purchase, H.C. (eds.) Evaluation in the Crowd: Crowdsourcing and Human-Centred Experiments. Springer (2017).
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Egger-Lampl, S., Redi, J., Hoßfeld, T., Hirth, M., Möller, S., Naderi, B., Keimel, C., Saupe, D.: Crowdsourcing Quality of Experience Experiments. In: D., A., H., P., and T., H. (eds.) Evaluation in the Crowd. Crowdsourcing and Human-Centered Experiments. Springer (2017).
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Hirth, M., Jacques, J., Rodgers, P., Scekic, O., Wybrow, M.: Crowdsourcing Technology to Support Academic Research. In: D., A., H., P., and T., H. (eds.) Evaluation in the Crowd. Crowdsourcing and Human-Centered Experiments. Springer (2017).
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Jarschel, M., Hoßfeld, T., Davoli, F., Bolla, R., Bruschi, R., Carrega, A.: SDN-Enabled Energy-Efficient Network Management. In: Samdanis, K., Rost, P., Maeder, A., Meo, M., and Verikoukis, C. (eds.) Green Communications: Principles, Concepts and Practice. John Wiley & Sons, Ltd (2015).
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Bernardo, V., Braun, T., Curado, M., Fiedler, M., Hock, D., Hossmann, T., Hummel, K.A., Hurni, P., Ickin, S., Jamakovic, A., Nadjm-Tehrani, S., Ahn Trinh, T., Jon Vergara, E., Wamser, F., Zinner, T.: Green Wireless Energy Efficiency in Wireless Networks. In: Pierson, J.-M. (ed.) Large-scale Distributed Systems and Energy Efficiency: A Holistic View. John Wiley & Sons, Ltd (2015).
Summary Wireless networks have become more and more popular because of ease of installation, ease of access, and support of smart terminals and gadgets on the move. In the overall life cycle of providing green wireless technology, from production to operation and, finally, removal, this chapter focuses on the operation phase and summarizes insights in energy consumption of major technologies. The chapter also focuses on the edge of the network, comprising network access points (APs) and mobile user devices. It discusses particularities of most important wireless networking technologies: wireless access networks including 3G/LTE and wireless mesh networks (WMNs); wireless sensor networks (WSNs); and ad-hoc and opportunistic networks. Concerning energy efficiency, the chapter discusses challenges in access, wireless sensor, and ad-hoc and opportunistic networks.
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Hoßfeld, T., Keimel, C.: Crowdsourcing in QoE Evaluation. In: Sebastian Möller, A.R. (ed.) Quality of Experience: Advanced Concepts, Applications and Methods. Springer: T-Labs Series in Telecommunication Services, ISBN 978-3-319-02680-0, (2014).
Crowdsourcing enables new possibilities for QoE evaluation by moving the evaluation task from the traditional laboratory environment into the Internet, allowing researchers to easily access a global pool of subjects for the evaluation task. This makes it not only possible to include a more diverse population and real-life environments into the evaluation, but also reduces the turn-around time and increases the number of subjects participating in an evaluation campaign significantly by circumventing bottle-necks in traditional laboratory setup. In order to utilise these advantages, the differences between laboratory-based and crowd-based QoE evaluation must be considered and we therefore discuss both these differences and their impact on the QoE evaluation in this chapter.
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Strohmeier, D., Egger, S., Raake, A., Schatz, R., Hoßfeld, T.: Web Browsing. In: Sebastian Möller, S.R. (ed.) Quality of Experience: Advanced Concepts, Applications and Methods. Springer: T-Labs Series in Telecommunication Services, ISBN 978-3-319-02680-0, (2014).
The Chapter provides an overview of Quality of Experience research for web-browsing, highlighting recent research trends. It indicates how Web-QoE assessment has evolved from the mapping of technically measured page-load durations to quality estimates to the notion of subjective page load duration. Here, the consideration of the user’s current task and respective role of individual element load durations is discussed. The interactive nature of Web-browsing is further analyzed in terms of temporal effects regarding the subsequent page access of users during typical browsing sessions. Finally, the Chapter provides an outlook on future challenges related with the increasing complexity of web-services and respective page-loading processes.
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Burger, V., Hock, D., Scholtes, I., Hoßfeld, T., Garcia, D., Seufert, M.: Social Network Analysis in the Enterprise: Challenges and Opportunities. In: Zweig, K., Neuser, W., Pipek, V., Rohde, M., and Scholtes, I. (eds.) Socioinformatics - The Social Impact of Interactions between Humans and IT. Springer International Publishing (2014).
Enterprise social software tools are increasingly being used to support the communication and collaboration between employees, as well as to facilitate the collaborative organisation of information and knowledge within companies. Not only do these tools help to develop and maintain an efficient social organisation, they also produce massive amounts of fine-grained data on collaborations, communication and other forms of social relationships within an enterprise. In this chapter, we argue that the availability of these data provides unique opportunities to monitor and analyse social structures and their impact on the success and performance of individuals, teams, communities and organisations. We further review methods from the planning, design and optimisation of telecommunication networks and discuss challenges arising when wanting to apply them to optimise the structure of enterprise social networks.
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Seufert, M., Darzanos, G., Papafili, I., Łapacz, R., Burger, V., Hoßfeld, T.: Socially-Aware Traffic Management. In: Zweig, K., Neuser, W., Pipek, V., Rohde, M., and Scholtes, I. (eds.) Socioinformatics - The Social Impact of Interactions between Humans and IT. Springer International Publishing (2014).
Socially-aware traffic management utilizes social information to optimize traffic management in the Internet in terms of traffic load, energy consumption, or end user satisfaction. Several use cases can benefit from socially-aware traffic management and the performance of overlay applications can be enhanced. We present existing use cases and their socially-aware approaches and solutions, but also raise discussions on additional benefits from the integration of social information into traffic management as well as practical aspects in this domain.
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Stiller, B., Hausheer, D., Hoßfeld, T.: Towards a Socially-Aware Management of New Overlay Application Traffic Combined with Energy Efficiency in the Internet (SmartenIT). In: Alex Galis, A.G. (ed.) The Future Internet. Springer, LNCS 7858 (2013).
The Internet has seen a strong move to support overlay applications, which demand a coherent and integrated control in underlying heterogeneous networks in a scalable, resilient, and energy-efficient manner. A tighter integration of network management and overlay service functionality can lead to cross-layer optimization of operations and management, which is a promising approach as it offers a large business potential in operational perspectives for all players involved. Therefore, the objective of this paper is to present SmartenIT (Socially-aware Management of New Overlay Application Traffic combined with Energy Efficiency in the Internet), which targets at an incentive-compatible cross-layer network management for providers of overlay-based application (e.g., cloud applications, content delivery, and social networks), network providers, and end-users. The goal is to ensure a QoE-awareness, by addressing accordingly load and traffic patterns or special application requirements, and exploiting at the same time social awareness (in terms of user relations and interests). Moreover, energy efficiency with respect to both end-user devices and underlying networking infrastructure is tackled to ensure an operationally efficient management. Incentive-compatible network management mechanisms for improving metrics on an inter-domain basis for ISPs serve as the major mechanism to deal with and investigate real-life scenarios.
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Schatz, R., Hoßfeld, T., Janowski, L., Egger, S.: From Packets to People: Quality of Experience as New Measurement Challenge. In: Ernst Biersack, C.C. (ed.) Data Traffic Monitoring and Analysis: From measurement, classification and anomaly detection to Quality of experience. Springer’s Computer Communications and Networks series, Volume 7754 (2013).
Over the course of the last decade, the concept of Quality of Experience (QoE) has gained strong momentum, both from an academic research and an industry perspective. Being linked very closely to the subjective perception of the end user, QoE is supposed to enable a broader, more holistic understanding of the qualitative performance of networked communication systems and thus to complement the traditional, more technology-centric Quality of Service (QoS) perspective. The purpose of this chapter is twofold: firstly, it introduces the reader to QoE by discussing the origins and the evolution of the concept. Secondly, it provides an overview of the current state of the art of QoE research, with focus on work that particularly addresses QoE as a measurement challenge on the technology as well as on the end-user level. This is achieved by surveying the different streams of QoE research that have emerged in the context of Video, Voice and Web services with respect to the following aspects: fundamental relationships and perceptual principles, QoE assessment, modeling and monitoring.
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Hoßfeld, T., Schatz, R., Biersack, E., Plissonneau, L.: Internet Video Delivery in YouTube: From Traffic Measurements to Quality of Experience. In: Ernst Biersack, C.C. (ed.) Data Traffic Monitoring and Analysis: From measurement, classification and anomaly detection to Quality of experience. Springer’s Computer Communications and Networks series, Volume 7754 (2013).
This chapter investigates HTTP video streaming over the Internet for the YouTube platform. YouTube is used as concrete example and case study for video delivery over the Internet, since it is not only the most popular online video platform, but also generates a large share of traffic on today’s Internet. We will describe the YouTube infrastructure as well as the underlying mechanisms for optimizing content delivery. Such mechanisms include server selection via DNS as well as application-layer traffic management. Furthermore, the impact of delivery via the Internet on the user experienced quality (QoE) of YouTube video streaming is quantified. In this context, different QoE monitoring approaches are qualitatively compared and evaluated in terms of the accuracy of QoE estimation.
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Zseby, T., Zinner, T., Tutschku, K., Shavitt, Y., Tran-Gia, P., Schwartz, C., Rafetseder, A., Henke, C., Schmoll, C.: Multipath Routing Slice Experiments in Federated Testbeds. In: Domingue, J., Galis, A., Gavras, A., Zahariadis, T., Lambert, D., Cleary, F., Daras, P., Krco, S., Müller, H., and Li, M.-S. (eds.) Future Internet Assembly (FIA) Book Future Internet: Achievements and Promising Technology. Springer (2011).
The Internet today consist of many heterogeneous infras- tructures, owned and maintained by separate and potentially competing administrative authorities. On top of this a wide variety of applications has different requirements with regard to quality, reliability and security from the underlying networks. The number of stakeholders who partici- pate in provisioning of network and services is growing. More demanding applications (like eGovernment, eHealth, critical and emergency infras- tructures) are on the rise. Therefore we assume that these two basic characteristics, a) multiple authorities and b) applications with very di- verse demands, are likely to stay or even increase in the Internet of the future. In such an environment federation and virtualization of resources are key features that should be supported in a future Internet. The ability to form slices across domains that meet application specific requirements enables many of the desired features in future networks. In this paper, we present a Multipath Routing Slice experiment that we performed over multiple federated testbeds. We combined capabilities from different experimental facilities, since one single testbed did not offer all the required capabilities. This paper summarizes the conducted experiment, our experience with the usability of federated testbeds and our experience with the use of advanced measurement technologies within experimental facilities. We believe that this experiment provides a good example use case for the future Internet itself because we assume that the Internet will consist of multiple different infrastructures that have to be combined in application specific overlays or routing slices, very much like the experimental facilities we used in this experiment. We also assume that the growing demands will push towards a much better measurement instrumentation of the future Internet. The tools used in our experiment can provide a starting point for this.
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Hoßfeld, T.: Aktuelle Entwicklungen im Internet und sich daraus ergebende rechtliche Fragestellungen. In: Jiri Herczeg, E.H. (ed.) Internet-Kriminalität und die neuen Herausforderungen der Informationsgesellschaft des 21. Jahrhundert. Wolters Kluwer CR, ISBN 978-80-7357-601-1 (2011).
Das Internet verändert und entwickelt sich stets weiter. Dabei führen neue Paradigmen wie P2P oder Web 2.0 zu neuartigen Diensten und Applikationen, die allerdings ebenso neuartige technische aber auch rechtliche Problemstellungen nach sich ziehen. In diesem Zusammenhang wurden bei den P2P Anwendungen die Dateitauschbörsen, P2P-basierte Videostreaming Anwendungen sowie die Skype Internettelefonie diskutiert. Bei der Anwendung des Web 2.0 Paradigmas lag der Schwerpunkt auf den sozialen Netzwerken im Internet und dem Crowdsourcing als neue Form der Arbeitsauslagerung. Es wurde auf existierende soziale Netzwerke, die Verbesserung von Internet-Diensten und neuartige Geschäftsmodelle durch sozialen Netzwerke, sowie der Integration der Präsenz der Nutzer in neue soziale Netzwerkanwendungen eingegangen. Weiterhin wurden auf die technischen Veränderungen des Internets durch Virtualisierung und durch Economic Traffic Management zur Steuerung des Datenverkehrs im Internet eingegangen. Die sich aus diesen Veränderungen im Internet ergebenden neuartigen rechtlichen Fragestellungen können wie folgt stichpunktartig zusammengefasst werden. 1) P2P Anwendungen: - Einsatz von Pollution/Poisoining nach Einführung der Kulturflatrate, um Verkauf von digitalen Inhalten voranzutreiben; - Rechtliche Unterschiede zwischen Video-on-Demand und Livestreaming Plattformen; - Rechner leitet ohne das Wissen des Nutzers urheberrechtlich geschützte Inhalte weiter. 2) Soziale Netzwerke: - Manipulation der Wichtigkeit und Korrektheit von Nachrichten; - Schutz der Privatsphäre von Nutzern und Bewusstseinsschaffung für Verfügbarkeit von Daten im Internet; - Gefälschte Identitäten von OSN Nutzern, um falsche Informationen zu streuen oder um an private Daten fremder Nutzer zu gelangen; - Ausspionieren des sozialen Profils eines Nutzers durch Computerprogramme und Bots; - Identifizieren eines Nutzers beim Surfen auf beliebigen Webseiten. 3) Crowdsourcing: - Suchmaschinenoptimierung durch Routine Tasks; - Löschen von Informationen durch Überfluten des Internet mit generierten Inhalten; - Rechteübertragung bei kreativen Tasks. 4) Virtualisierung: - Physikalische Lokation eines Nutzers nicht identifizierbar; - Verantwortlichkeit bei der Vorratsdatenspeicherung. 5) Economic Traffic Management: - Netzneutralität im Widerspruch zu Lösungsansätzen.
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Pries, R.: Focus Group Green Wireless - Energy-Efficient Wireless Network Planning. In: Pierson, J.-M. and Hlavacs, H. (eds.) COST Action IC0804 on Energy Efficiency in Large Scale Distributed Systems, 2nd Year Proceedings. pp. 106-109. COST Office (2011).
The energy consumption of wireless network equipment is responsible for the largest amount of the OPEX of today’s wireless network providers. Thus, an energy-efficient network is not only a matter of being ”green” but also helps to reduce the OPEX. In this paper, we show how to enhance planning and optimization tools for cellular networks as well as for wireless mesh networks to include the energy consumption in the planning process. This will help network operators to further reduce the energy consumption because the complete design of the network would be changed and not only existing network topologies would be adjusted to be more energy-efficient.
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Papafili, I., Stamoulis, G.D., Stankiewicz, R., Oechsner, S., Pussep, K., Wojcik, R., Domzal, J., Staehle, D., Lehrieder, F., Stiller, B.: Assessment of Economic Traffic Management of Overlay Traffic: Methodology and Results. In: et al., J.D. (ed.) Future Internet Assembly (FIA) Book: Future Internet Achievements and Promising Technology. Springer LNCS (2011).
Overlay applications generate huge amounts of traffic in the Internet, which determines a problem for Internet Service Providers, since it results in high charges for inter-domain traffic. Traditional traffic management techniques cannot deal successfully with overlay traffic. An incentive-based approach that employs economic concepts and mechanisms is required in order to deal with the overlay traffic in a way that is mutually beneficial for all stakeholders of the Future Internet. This TripleWin situation is the target of Economic Traffic Management (ETM). A wide variety of techniques are employed by ETM for optimizing overlay traffic management considering performance requirements of overlay and underlay networks together with cost implications for ISPs. However, the assessment of ETM requires an innovative methodology. In this article this methodology is described and major results are presented as obtained accordingly from the evaluation of different ETM mechanisms.
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Tutschku, K., Berl, A., Hoßfeld, T., de Meer, H.: Chapter XVI: Mobile P2P in Cellular Mobile Networks: Architecture and Performance. In: Seet, B.-C. (ed.) Mobile Peer-to-Peer Computing for Next Generation Distributed Environments: Advancing Conceptual and Algorithmic Applications. Information Science Reference, ISBN: 978-1-60566-715-7 (2009).
Telecommunication has seen recently two areas with very high growth rates: cellular networks, e.g. GSM (Global System for Mobile Communications) or UMTS (Universal Mobile Telecommunications System), and P2P (Peer-to-Peer) file-sharing applications. A combination of both might be highly attractive, a) for attracting new users and b) for exploiting the potential of cellular broadband technologies. From a system's perspective, architectures and performance figures of cellular mobile network applications and services that have edge-based intelligence (e.g. P2P applications) are to the best of our knowledge less researched and many questions remain open. This chapter presents the design of MP2P (Mobile P2P) applications for cellular mobile networks by using the example of a MP2P content-distribution application. First, the incompatibilities between the P2P paradigm and properties of cellular mobile networks are identified. Then, a design methodology for MP2P applications for cellular mobile networks is proposed. The proposed method is based on a functional analysis of the two basic P2P functions, resource mediation and resource access control. The result is a hybrid P2P content-distribution architecture, which is enhanced by different operator-controlled infrastructure elements. The suggested architecture does not only overcome incompatibilities between P2P and cellular mobile communication systems, it also meets functional needs and performance requirements of future P2P applications in cellular environments and preserves largely the user characteristics and efficiency of P2P systems. Finally, the performance enhancements by the architecture for the two basic P2P functions are investigated by comprehensive simulative and analytical performance evaluations.
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Hoßfeld, T., Duelli, M., Staehle, D., Tran-Gia, P.: Chapter VIII: Cooperation Strategies for P2P Content Distribution in Cellular Mobile Networks: Considering Mobility and Heterogeneity. In: Seet, B.-C. (ed.) Mobile Peer-to-Peer Computing for Next Generation Distributed Environments: Advancing Conceptual and Algorithmic Applications. p. 1234--5678. Information Science Reference, ISBN: 978-1-60566-715-7 (2009).
The performance of P2P content distribution in cellular networks depends highly on the cooperation and coordination of heterogeneous and often selfish mobile users. The major challenges are the identification of problems specifically arising in cellular mobile networks and the development of new cooperation strategies to overcome these problems. In the coherent previous chapter, we focused on the selfishness of users in such heterogeneous environments. This discussion is now extended by emphasizing the impact of mobility and vertical handover between different wireless access technologies. An abstract mobility model is required to allow the performance evaluation in feasible computational time. As a result, the performance in today’s and future cellular networks is predicted and new approaches to master heterogeneity in cellular networks are derived.
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Hoßfeld, T., Schlosser, D., Tutschku, K., Tran-Gia, P.: Chapter VII: Cooperation Strategies for P2P Content Distribution in Cellular Mobile Networks: Considering Selfishness and Heterogeneity. In: Seet, B.-C. (ed.) Mobile Peer-to-Peer Computing for Next Generation Distributed Environments: Advancing Conceptual and Algorithmic Applications. Information Science Reference, ISBN: 978-1-60566-715-7 (2009).
The performance of P2P content distribution in cellular networks depends highly on the cooperation and coordination of heterogeneous and often selfish mobile users. The major challenges are the identification of problems specifically arising in cellular mobile networks and the development of new cooperation strategies to overcome these problems. In this chapter, we review common cooperation strategies using multi-source downloads. We demonstrate the fundamental “last chunk” problem of typical strategies as used by eDonkey or BitTorrent. This is caused by the selfishness of users; however, an ordered chunk delivery evades this problem. In the coherent, subsequent chapter “Cooperation Strategies for P2P Content Distribution in Cellular Mobile Networks: Considering Mobility and Heterogeneity”, the impact of mobility and vertical handover between heterogeneous wireless access technologies is investigated.
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Michael Bohnert, T., Staehle, D., Monteiro, E.: Speech Quality Aware Resource Control for Fixed and Mobile WiMAX. In: Marcos Katz, F.F. (ed.) WiMAX Evolution. John Wiley & Sons (2009).
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Hoßfeld, T., Hausheer, D., Hecht, F., Lehrieder, F., Oechsner, S., Papafili, I., Racz, P., Soursos, S., Staehle, D., Stamoulis, G.D., Tran-Gia, P., Stiller, B.: An Economic Traffic Management Approach to Enable the TripleWin for Users, ISPs, and Overlay Providers. In: Tselentis, G., Domingue, J., Galis, A., Gavras, A., Hausheer, D., Krco, S., Lotz, V., and Zahariadis, T. (eds.) FIA Prague Book, ISBN 978-1-60750-007-0. IOS Press Books Online (2009).
Socio-economic aspects play an increasingly important role in the Future Internet. To enable a TripleWin situation for the involved players, i.e. the end users, the ISPs and telecommunication operators, and the service providers, a new, incentive-based concept is proposed referred to as Economic Traffic Management (ETM). It aims at reducing costs within the network while improving the Quality-of-Experience (QoE) for end users. In particular, peer-to-peer (P2P) overlay applications generate a large amount of costs due to inter-domain traffic. ETM solution approaches have to take into account (a) the traffic patterns stemming from the overlay application, (b) the charging models for transit traffic, and (c) the applicability and efficiency of the proposed solution. The complex interaction between these three components and its consequences is demonstrated on selected examples. As a result it is shown that different ETM approaches have to be combined for an overall solution. To this end, the paper derives functional and non-functional requirements for designing ETM and provides a suitable architecture enabling the implementation of a TripleWin solution.
