664 research outputs found

    Asymmetry and Discrimination in Internet Peering Evidence from the LINX

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    Is the quality of interconnection between Internet operators affected by their asymmetry? While recent game theoretic literature provides contrasting answers to this question, there is a lack of empirical research. We introduce a novel dataset based on Internet routing policies, and study the interconnection decisions amongst the Internet Service Providers (ISPs) members of the London Internet Exchange Point (LINX). Our results show that interconnection quality degradation can be significantly explained by asymmetry between providers. We also show that Competition Authorities should focus more on the role played by the “centrality of an operatorâ€, rather than on its market share.Internet Peering, Two-sided Markets, Network Industries, Antitrust, Net Neutrality

    Using Tuangou to reduce IP transit costs

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    A majority of ISPs (Internet Service Providers) support connectivity to the entire Internet by transiting their traffic via other providers. Although the transit prices per Mbps decline steadily, the overall transit costs of these ISPs remain high or even increase, due to the traffic growth. The discontent of the ISPs with the high transit costs has yielded notable innovations such as peering, content distribution networks, multicast, and peer-to-peer localization. While the above solutions tackle the problem by reducing the transit traffic, this paper explores a novel approach that reduces the transit costs without altering the traffic. In the proposed CIPT (Cooperative IP Transit), multiple ISPs cooperate to jointly purchase IP (Internet Protocol) transit in bulk. The aggregate transit costs decrease due to the economies-of-scale effect of typical subadditive pricing as well as burstable billing: not all ISPs transit their peak traffic during the same period. To distribute the aggregate savings among the CIPT partners, we propose Shapley-value sharing of the CIPT transit costs. Using public data about IP traffic of 264 ISPs and transit prices, we quantitatively evaluate CIPT and show that significant savings can be achieved, both in relative and absolute terms. We also discuss the organizational embodiment, relationship with transit providers, traffic confidentiality, and other aspects of CIPT

    Technologies, routing policies and relationships between autonomous systems in inter-domain routing

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    A deep exploration of the issues related to routing decisions in inter-domain routing is the scope of this thesis, through the analysis of the interconnection structure and the network hierarchy, the examination of the inter-domain routing protocol used to exchange network reachability information with other systems, the examination of the routing decision process between the entities according to their attributes and policies, the study of the topology generators of the AS relationships, reviewing the most interesting proposals in this area, describing why these issues are difficult to solve, and proposing solutions allowing to better understand the routing process and optimally solve the trade-off of implementing a Peering Engagement between two Autonomous Systems, against the extra cost that this solution represent. More specifically this thesis introduces a new scheme for the routing decision in a BGP speaker through a formalization of the routing decision process, and proposes a formulation of a real and exhaustive mathematical model of a Peering Engagement between Autonomous Systems, to be solved as a problem of maximization with an ad-hoc built Decision Support System (XESS) able to find an optimal reduced set of solutions to the proposed problem. -------------------------------------------------------------------------- ABSTRACT [IT] Un’analisi approfondita delle tematiche inerenti le decisioni di routing nel routing interdominio è oggetto di questa tesi, attraverso l’esame della struttura di interconnessione e delle gerarchia del network, lo studio del protocollo utilizzato nel routing interdominio per scambiare le informazioni di reachability con gli altri sistemi, l’analisi del processo decisionale tra le entità coinvolte nello scambio di tali informazioni in accordo con le politiche e gli attributi, lo studio delle topologie sintetiche derivate dallo studio delle relazioni tra gli AS, attraverso i lavori di ricerca in quest’area, la descrizione dei problemi e delle difficoltà, e offrendo un contributo atto a fornire una maggiore comprensione del processo decisionale nel routing interdominio e una soluzione per l’implementazione di un processo di Peering tra Autonomous System. In particolare, questa tesi introduce un nuovo modello per il processo decisionale in uno speaker BGP attraverso la formalizzazione del routing decision process, e propone un modello matematico esaustivo delle meccaniche legate al processo di Peering Engagement tra Autonomous System, da analizzare come problema di massimizzazione e da risolvere con un Decision Support System (XESS) creato per trovare un sottoinsieme ottimo di soluzioni al problema matematico proposto

    Using Internet Geometry to Improve End-to-End Communication Performance

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    The Internet has been designed as a best-effort communication medium between its users, providing connectivity but optimizing little else. It does not guarantee good paths between two users: packets may take longer or more congested routes than necessary, they may be delayed by slow reaction to failures, there may even be no path between users. To obtain better paths, users can form routing overlay networks, which improve the performance of packet delivery by forwarding packets along links in self-constructed graphs. Routing overlays delegate the task of selecting paths to users, who can choose among a diversity of routes which are more reliable, less loaded, shorter or have higher bandwidth than those chosen by the underlying infrastructure. Although they offer improved communication performance, existing routing overlay networks are neither scalable nor fair: the cost of measuring and computing path performance metrics between participants is high (which limits the number of participants) and they lack robustness to misbehavior and selfishness (which could discourage the participation of nodes that are more likely to offer than to receive service). In this dissertation, I focus on finding low-latency paths using routing overlay networks. I support the following thesis: it is possible to make end-to-end communication between Internet users simultaneously faster, scalable, and fair, by relying solely on inherent properties of the Internet latency space. To prove this thesis, I take two complementary approaches. First, I perform an extensive measurement study in which I analyze, using real latency data sets, properties of the Internet latency space: the existence of triangle inequality violations (TIVs) (which expose detour paths: ''indirect'' one-hop paths that have lower round-trip latency than the ''direct'' default paths), the interaction between TIVs and network coordinate systems (which leads to scalable detour discovery), and the presence of mutual advantage (which makes fairness possible). Then, using the results of the measurement study, I design and build PeerWise, the first routing overlay network that reduces end-to-end latency between its participants and is both scalable and fair. I evaluate PeerWise using simulation and through a wide-area deployment on the PlanetLab testbed

    Defining Routing Policies in Peer-to-Peer Overlay Networks

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    This master’s thesis involves the definition and development of a policy-based routing scheme for peer-to-peer overlay networks. Many peer-to-peer networks are in existence today and each has various methods for discovering new peers, searching for content, and overcoming connectivity problems. The addition of efficient policy-based routing enhances the ability of peers within overlay networks to make appropriate routing decisions. Policy-based routing provides a means for peers to define the types of network traffic they are willing to route and the conditions under which they will route it. The motivations for these policies are many and are described in upcoming sections. In order to express and enforce policies, a simple policy definition language was developed. This language is sufficient for owners of overlay nodes to choose to route traffic based on their own requirements and gives node owners a means to express these requirements, such that other nodes within the overlay network can learn them. A mechanism is presented that allows these policies to be stored either in a distributed hash table or on a set of directory servers. The effectiveness of policy-based routing was tested using a simulated network. The affect of these routing policies, in terms of both additional network traffic and requirements for client software, was also assessed. Finally, a comparison was made between storing policy information in a distributed hash table, versus on a set of directory servers

    Provider and peer selection in the evolving internet ecosystem

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    The Internet consists of thousands of autonomous networks connected together to provide end-to-end reachability. Networks of different sizes, and with different functions and business objectives, interact and co-exist in the evolving "Internet Ecosystem". The Internet ecosystem is highly dynamic, experiencing growth (birth of new networks), rewiring (changes in the connectivity of existing networks), as well as deaths (of existing networks). The dynamics of the Internet ecosystem are determined both by external "environmental" factors (such as the state of the global economy or the popularity of new Internet applications) and the complex incentives and objectives of each network. These dynamics have major implications on how the future Internet will look like. How does the Internet evolve? What is the Internet heading towards, in terms of topological, performance, and economic organization? How do given optimization strategies affect the profitability of different networks? How do these strategies affect the Internet in terms of topology, economics, and performance? In this thesis, we take some steps towards answering the above questions using a combination of measurement and modeling approaches. We first study the evolution of the Autonomous System (AS) topology over the last decade. In particular, we classify ASes and inter-AS links according to their business function, and study separately their evolution over the last 10 years. Next, we focus on enterprise customers and content providers at the edge of the Internet, and propose algorithms for a stub network to choose its upstream providers to maximize its utility (either monetary cost, reliability or performance). Third, we develop a model for interdomain network formation, incorporating the effects of economics, geography, and the provider/peer selections strategies of different types of networks. We use this model to examine the "outcome" of these strategies, in terms of the topology, economics and performance of the resulting internetwork. We also investigate the effect of external factors, such as the nature of the interdomain traffic matrix, customer preferences in provider selection, and pricing/cost structures. Finally, we focus on a recent trend due to the increasing amount of traffic flowing from content providers (who generate content), to access providers (who serve end users). This has led to a tussle between content providers and access providers, who have threatened to prioritize certain types of traffic, or charge content providers directly -- strategies that are viewed as violations of "network neutrality". In our work, we evaluate various pricing and connection strategies that access providers can use to remain profitable without violating network neutrality.Ph.D.Committee Chair: Dovrolis, Constantine; Committee Member: Ammar, Mostafa; Committee Member: Feamster, Nick; Committee Member: Willinger, Walter; Committee Member: Zegura, Elle

    Peering Strategic Game Models for Interdependent ISPs in Content Centric Internet

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    Emergent content-oriented networks prompt Internet service providers (ISPs) to evolve and take major responsibility for content delivery. Numerous content items and varying content popularities motivate interdependence between peering ISPs to elaborate their content caching and sharing strategies. In this paper, we propose the concept of peering for content exchange between interdependent ISPs in content centric Internet to minimize content delivery cost by a proper peering strategy. We model four peering strategic games to formulate four types of peering relationships between ISPs who are characterized by varying degrees of cooperative willingness from egoism to altruism and interconnected as profit-individuals or profit-coalition. Simulation results show the price of anarchy (PoA) and communication cost in the four games to validate that ISPs should decide their peering strategies by balancing intradomain content demand and interdomain peering relations for an optimal cost of content delivery
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