Congestion-aware single link failure recovery in hybrid SDN networks

Chu, Cing-Yu; Xi, Kang; Luo, Min; Chao, H. Jonathan

doi:10.1109/infocom.2015.7218482

Cited by 98 publications

(46 citation statements)

References 12 publications

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“…One of these initiatives was brought forward by the Polytechnic School of Engineering from New York University. Their emphasis was to develop a congestion-aware single link failure recovery system for hybrid SDN [9], in order to achieve fast failover recovery and load balancing post recovery. The way they achieved this was by developing a heuristic algorithm that utilizes SDN devices in the recovery path that have a global view of the network to formulate recovery routes.…”

Section: Related Workmentioning

confidence: 99%

Trend-Based Networking Driven by Big Data Telemetry for Sdn and Traditional Networks

Jain¹,

Gupta²,

Gupta³

et al. 2019

IJNGN

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Organizations face a challenge of accurately analyzing network data and providing automated action based on the observed trend. This trend-based analytics is beneficial to minimize the downtime and improve the performance of the network services, but organizations use different network management tools to understand and visualize the network traffic with limited abilities to dynamically optimize the network. This research focuses on the development of an intelligent system that leverages big data telemetry analysis in Platform for Network Data Analytics (PNDA) to enable comprehensive trendbased networking decisions. The results include a graphical user interface (GUI) done via a web application for effortless management of all subsystems, and the system and application developed in this research demonstrate the true potential for a scalable system capable of effectively benchmarking the network to set the expected behavior for comparison and trend analysis. Moreover, this research provides a proof of concept of how trend analysis results are actioned in both a traditional network and a software-defined network (SDN) to achieve dynamic, automated load balancing.

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Section: Related Workmentioning

confidence: 99%

Trend-Based Networking Driven by Big Data Telemetry for Sdn and Traditional Networks

Jain¹,

Gupta²,

Gupta³

et al. 2019

IJNGN

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“…Protection of the link and control channel of OpenFlow requires however more complex solutions, as the one proposed in [12]. To avoid losses in case of link failures in hybrid networks, [3] proposes to introduce pre-set tunnels from a legacy router towards an SDN router, which form backup paths. Later, SDN nodes reroute traffic through non damaged paths.…”

Section: Sdn and Energy Aware Routingmentioning

confidence: 99%

“…We borrow this idea and propose to use pre-set tunnels, when a node is turned down. This is an adaptation and a generalization of the solution proposed in [3] to handle a link failure. Indeed, we use it for energy efficiency when multiple links are turned off.…”

Section: Sdn and Energy Aware Routingmentioning

confidence: 99%

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Bringing Energy Aware Routing Closer to Reality with SDN Hybrid Networks

Huin

Rifai

Giroire

et al. 2017

GLOBECOM 2017 - 2017 IEEE Global Communications Conference

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Abstract-Energy aware routing aims at reducing the energy consumption of ISP networks. The idea is to adapt routing to the traffic load in order to turn off some hardware. However, it implies to make dynamic changes to routing configurations which is almost impossible with legacy protocols. The Software Defined Network (SDN) paradigm bears the promise of allowing a dynamic optimization with its centralized controller.In this work, we propose SENAtoR, an algorithm to enable energy aware routing in a scenario of progressive migration from legacy to SDN hardware. Since in real life, turning off network equipments is a delicate task as it can lead to packet losses, SENAtoR provides also several features to safely enable energy saving services: tunneling for fast rerouting, smooth node disabling and detection of both traffic spikes and link failures.We validate our solution by extensive simulations and by experimentation. We show that SENAtoR can be progressively deployed in a network using the SDN paradigm. It allows to reduce the energy consumption of ISP networks by 5 to 35% depending on the penetration of SDN hardware, while diminishing the packet loss rate compared to legacy protocols.

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“…[10] targets TE in hybrid SDN and solves the dynamic routing problem periodically using an efficient approximation scheme. [12] guarantees traffic reachability in case of any single link failure in hybrid SDN networks, but it does not address TE issues in normal scenarios without failures. Our approach not only plans for the SDN deployment but also reconfigures routing in real time to accommodate dynamic traffic demands.…”

Section: Related Workmentioning

confidence: 99%

Incremental Deployment of SDN in Hybrid Enterprise and ISP Networks

Hong

Banerjee

et al. 2016

Proceedings of the Symposium on SDN Research

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Introducing SDN into an existing network causes both deployment and operational issues. A systematic incremental deployment methodology as well as a hybrid operation model is needed. We present such a system for incremental deployment of hybrid SDN networks consisting of both legacy forwarding devices (i.e., traditional IP routers) and programmable SDN switches. We design the system on a production SDN controller to answer the following questions: which legacy devices to upgrade to SDN, and how legacy and SDN devices can interoperate in a hybrid environment to satisfy a variety of traffic engineering (TE) goals such as load balancing and fast failure recovery. Evaluation on real ISP and enterprise topologies shows that with only 20% devices upgraded to SDN, our system reduces the maximum link usage by an average of 32% compared with pure-legacy networks (shortest path routing), while only requiring an average of 41% of flow table capacity compared with pure-SDN networks.

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Congestion-aware single link failure recovery in hybrid SDN networks

Cited by 98 publications

References 12 publications

Trend-Based Networking Driven by Big Data Telemetry for Sdn and Traditional Networks

Trend-Based Networking Driven by Big Data Telemetry for Sdn and Traditional Networks

Bringing Energy Aware Routing Closer to Reality with SDN Hybrid Networks

Incremental Deployment of SDN in Hybrid Enterprise and ISP Networks

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