Improving performance for multimedia traffic with distributed dynamic QoS adaptation

Cruvinel, Laercio; Vazão, Teresa

doi:10.1016/j.comcom.2010.12.010

Cited by 3 publications

(4 citation statements)

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“…Section 2.1). CXPs could capitalize on prior work for the implementation [18,27,28,53] and monitoring [73] of QoS-enabled pathlets; the scheme assumes a given per-ISP QoS and focuses on what can be done assuming that ISPs provide guaranteed pathlets anchored to IXPs, irrespective of how they are implemented. We note that this work, based on the concept of logically centralized brokers offering Routing as a Service [64], is an alternative to the proposal of source-routed, composable path segments advocated e.g., in ARROW [77].…”

Section: Related Workmentioning

confidence: 99%

Stitching Inter-Domain Paths over IXPs

Kotronis

Klöti

Rost

et al. 2016

Proceedings of the Symposium on SDN Research

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Modern Internet applications, from HD video-conferencing to health monitoring and remote control of power-plants, pose stringent demands on network latency, bandwidth and availability. Centralized inter-domain routing brokers is an approach to support such applications and provide inter-domain guarantees, enabling new avenues for innovation. These entities centralize routing control for missioncritical traffic across domains, working in parallel to BGP. In this work, we propose using IXPs as natural points for stitching interdomain paths under the control of inter-domain routing brokers.To evaluate the potential of this approach, we first map the global substrate of inter-IXP pathlets that IXP members could offer, based on measurements for 229 IXPs worldwide. We show that using IXPs as stitching points has two useful properties. Up to 91% of the total IPv4 address space can be served by such inter-domain routing brokers when working in concert with just a handful of large IXPs and their associated ISP members. Second, path diversity on the inter-IXP graph increases by up to 29 times, as compared to current BGP valley-free routing. To exploit the rich path diversity, we introduce algorithms that inter-domain routing brokers can use to embed paths, subject to bandwidth and latency constraints. We show that our algorithms scale to the sizes of the measured graphs and can serve diverse simulated path request mixes. Our work highlights a novel direction for SDN innovation across domains, based on logically centralized control and programmable IXP fabrics.

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Section: Related Workmentioning

confidence: 99%

Stitching Inter-Domain Paths over IXPs

Kotronis

Klöti

Rost

et al. 2016

Proceedings of the Symposium on SDN Research

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“…For the first two phases, a detailed explanation and example may be found at [1]; below all phases are outlined. …”

Section: A Architecture Overviewmentioning

confidence: 99%

“…Our previous work -the Distributed Dynamic Quality of Service (DDQoS) architecture -also uses limited signaling, as control information is conveyed through the part of the network that effectively contributes to congestion, from the core up to the edge, where specific adaptation mechanisms are used to mitigate the problem [1].…”

Section: B Qos Signaling Mechanismsmentioning

confidence: 99%

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Profile-Based Adaptive DiffServ Policing with Learning Techniques

Cruvinel

Vazão

2011

2011 Proceedings of 20th International Conference on Computer Communications and Networks (ICCCN)

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IETF's Differentiated Services (DiffServ) is a scalable, distributed architecture aimed to provide a fair distribution of network resources according to expected levels of service. However, variable traffic and performance expectations may require an adjustment of management policies so that congestion situations are avoided and service parameters are met. Existing solutions that improve the standard DiffServ architecture do not cope well with this dynamics and network resources are not efficiently managed, preventing user expectations from being properly fulfilled. In this paper we show how a reinforcement learning approach can optimize the choice of adaptation profiles for the optimal adjustment of ingress policies when a precongestion state is detected. Numerical results from simulations showed improvements for priority traffic (video) without impacting excessively the other traffic.

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