7 research outputs found

    Combined Intra- and Inter-domain Traffic Engineering using Hot-Potato Aware Link Weights Optimization

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    A well-known approach to intradomain traffic engineering consists in finding the set of link weights that minimizes a network-wide objective function for a given intradomain traffic matrix. This approach is inadequate because it ignores a potential impact on interdomain routing. Indeed, the resulting set of link weights may trigger BGP to change the BGP next hop for some destination prefixes, to enforce hot-potato routing policies. In turn, this results in changes in the intradomain traffic matrix that have not been anticipated by the link weights optimizer, possibly leading to degraded network performance. We propose a BGP-aware link weights optimization method that takes these effects into account, and even turns them into an advantage. This method uses the interdomain traffic matrix and other available BGP data, to extend the intradomain topology with external virtual nodes and links, on which all the well-tuned heuristics of a classical link weights optimizer can be applied. A key innovative asset of our method is its ability to also optimize the traffic on the interdomain peering links. We show, using an operational network as a case study, that our approach does so efficiently at almost no extra computational cost.Comment: 12 pages, Short version to be published in ACM SIGMETRICS 2008, International Conference on Measurement and Modeling of Computer Systems, June 2-6, 2008, Annapolis, Maryland, US

    Joint Optimization of Intra- and Inter-Autonomous System Traffic Engineering

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    Traffic Engineering (TE) is used to optimize IP operational network performance. The existing literature generally considers intra- and inter-AS (Autonomous System) TE independently. However, the overall network performance may not be truly optimized when these aspects are considered separately. This is due to the interaction between intra- and inter-AS TE, where a solution of intra-AS TE may not be a good input to inter-AS TE and vice versa. To remedy this situation, we propose considering intra-AS aspects during inter-AS TE and vice versa. We propose a joint optimization of intra- and inter-AS TE to further improve the overall network performance by simultaneously finding the best egress points for the inter-AS traffic and the best routing scheme for the intra-AS traffic. Three strategies are presented to attack the problem, namely sequential, nested and integrated optimization. Our simulation study shows that, compared to sequential and nested optimization, integrated optimization can significantly improve the overall network performance by accommodating 30%-60% more traffic demands

    Joint optimization of intra- and inter-autonomous system traffic engineering

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    Abstract: Traffic Engineering (TE) involves network configuration in order to achieve optimal IP network performance. The existing literature considers intra- and inter-AS (Autonomous System) TE independently. However, if these two aspects are considered separately, the overall network performance may not be truly optimized. This is due to the interaction between intra and inter-AS TE, where a good solution of inter-AS TE may not be good for intra-AS TE. To remedy this situation, we propose a joint optimization of intra- and inter-AS TE in order to improve the overall network performance by simultaneously finding the best egress points for inter-AS traffic and the best routing scheme for intra-AS traffic. Three strategies are presented to attack the problem, sequential, nested and integrated optimization. Our evaluation shows that, in comparison to sequential and nested optimization, integrated optimization can significantly improve overall network performance by being able to accommodate approximately 30%-60% more traffic demand

    Measuring the shared fate of IGP engineering and interdomain traffic

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    Network engineering (the tuning of network configuration parameters to improve performance) is largely an ad-hoc process today. Typically, each Autonomous System (AS) tunes its local IS-IS or OSPF metrics during IGP (Interior Gateway Protocol) engineering without any coordination with other ASes. Such local optimizations can lead to sub-optimal end-toend network performance, as has been suggested by the performance enhancements achieved by some overlay routing projects [1]. On the other hand, global Internet-wide optimization is very challenging, due to both technical and administrative policy reasons. In this paper, we study the interaction of local IGP optimization in an ISP network with interdomain routing policies. Specifically, we examine two issues- (a) how does hot-potato routing (the BGP policy of choosing the minimum cost path out of an ISP’s network) influence the selection of IGP link metrics? (b) how does traffic to neighboring ASes shift due to changes in the local ISP’s IGP link metrics? In our measurement study, we find that hot-potato routing policy interacts significantly with IGP optimization, to the extent that ignoring such shifts can result in metrics that are sub-optimal by as much as 20 % of link utilization. Further, the impact on neighboring ASes is highly dependent on the peering locations and policies, and as much as 25 % of traffic to a neighboring AS can shift the exit point. Such interdomain shifts can be detrimental to the performance of neighboring ASes. We rely on actual measured network topology, IGP metrics, traffic matrix and delay bounds. While the results presented are specific to a single ISP, they point to the possibility of significant interaction between local IGP optimization and interdomain routing policies, and suggest the need for further work on global network optimization and coordination of local optimization among ISPs. I

    Measuring the shared fate of IGP engineering and interdomain traffic

    No full text
    Typically, each Autonomous System (AS) tunes its local IS-IS or OSPF metrics without any coordination with other ASes. Such local optimizations can lead to sub-optimal end-to-end network performance, as suggested by the performance enhancements achieved by some overlay routing projects. We study the interaction of local IGP engineering in an ISP network with interdomain routing policies. Specifically, (a) how does hot-potato routing (the BGP policy of choosing the closest egress) influence the selection of IGP link metrics? and (b) how does traffic to neighboring ASes shift due to changes in the local AS’s IGP link metrics? In our measurement study, we find that the hot-potato routing policy interacts significantly with IGP engineering-ignoring this interaction resulted in metrics sub-optimal by as much as 20 % of link utilization. Further, the impact on neighboring ASes depends on peering locations and policies, and as much as 25 % of traffic to a neighboring AS can shift the exit point. Such interdomain shifts can be detrimental to the performance of neighboring ASes. We rely on the actual measured network topology, IGP metrics, traffic matrix and delay bounds. Even though our results are specific to a single ISP, they show significant interaction between local IGP engineering and interdomain routing policies, and thus motivate further work on global network optimization and coordination among ISPs.

    System designs for bulk and user-generated content delivery in the internet

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    This thesis proposes and evaluates new system designs to support two emerging Internet workloads: (a) bulk content, such as downloads of large media and scientific libraries, and (b) user-generated content (UGC), such as photos and videos that users share online, typically on online social networks (OSNs). Bulk content accounts for a large and growing fraction of today\u27s Internet traffic. Due to the high cost of bandwidth, delivering bulk content in the Internet is expensive. To reduce the cost of bulk transfers, I proposed traffic shaping and scheduling designs that exploit the delay-tolerant nature of bulk transfers to allow ISPs to deliver bulk content opportunistically. I evaluated my proposals through software prototypes and simulations driven by real-world traces from commercial and academic ISPs and found that they result in considerable reductions in transit costs or increased link utilization. The amount of user-generated content (UGC) that people share online has been rapidly growing in the past few years. Most users share UGC using online social networking websites (OSNs), which can impose arbitrary terms of use, privacy policies, and limitations on the content shared on their websites. To solve this problem, I evaluated the feasibility of a system that allows users to share UGC directly from the home, thus enabling them to regain control of the content that they share online. Using data from popular OSN websites and a testbed deployed in 10 households, I showed that current trends bode well for the delivery of personal UGC from users\u27 homes. I also designed and deployed Stratus, a prototype system that uses home gateways to share UGC directly from the home.Schwerpunkt dieser Doktorarbeit ist der Entwurf und die Auswertung neuer Systeme zur Unterstützung von zwei entstehenden Internet-Workloads: (a) Bulk-Content, wie zum Beispiel die Übertragung von großen Mediendateien und wissenschaftlichen Datenbanken, und (b) nutzergenerierten Inhalten, wie zum Beispiel Fotos und Videos, die Benutzer üblicherweise in sozialen Netzwerken veröffentlichen. Bulk-Content macht einen großen und weiter zunehmenden Anteil im heutigen Internetverkehr aus. Wegen der hohen Bandbreitenkosten ist die Übertragung von Bulk-Content im Internet jedoch teuer. Um diese Kosten zu senken habe ich neue Scheduling- und Traffic-Shaping-Lösungen entwickelt, die die Verzögerungsresistenz des Bulk-Verkehrs ausnutzen und es ISPs ermöglichen, Bulk-Content opportunistisch zu übermitteln. Durch Software-Prototypen und Simulationen mit Daten aus dem gewerblichen und akademischen Internet habe ich meine Lösungen ausgewertet und herausgefunden, dass sich die Übertragungskosten dadurch erheblich senken lassen und die Ausnutzung der Netze verbessern lässt. Der Anteil an nutzergenerierten Inhalten (user-generated content, UGC), die im Internet veröffentlicht wird, hat in den letzen Jahren ebenfalls schnell zugenommen. Meistens wird UGC in sozialen Netzwerken (online social networks, OSN) veröffentlicht. Dadurch sind Benutzer den willkürlichen Nutzungsbedingungen, Datenschutzrichtlinien, und Einschränkungen des OSN-Providers unterworfen. Um dieses Problem zu lösen, habe ich die Machbarkeit eines Systems ausgewertet, anhand dessen Benutzer UGC direkt von zu Hause veröffentlichen und die Kontrolle über ihren UGC zurückgewinnen können. Meine Auswertung durch Daten aus zwei populären OSN-Websites und einem Feldversuch in 10 Haushalten deutet darauf hin, dass angesichts der Fortschritte in der Bandbreite der Zugangsnetze die Veröffentlichung von persönlichem UGC von zu Hause in der nahen Zukunft möglich sein könnte.Schließlich habe ich Stratus entworfen und entwickelt, ein System, das auf Home-Gateways basiert und mit dem Benutzer UGC direkt von zu Hause veröffentlichen können
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