Dynamic Flow Migration for Delay Constrained Traffic in Software-Defined Networks

Danielis, Peter; Dan, Gyoergy; Gross, James; Berger, André

doi:10.1109/glocom.2017.8254753

Cited by 7 publications

(2 citation statements)

References 17 publications

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“…After the traffic is rerouted to use the new paths, the N1-N2 link is disabled and the testbed reaches the final configuration state C2. With our testbed, the calculation of the flow installation order is straightforward and can easily be hard-coded in the experimental scripts, but with larger scenarios, such flow migration is required to be computed considering the whole topology as input [53]. It is worth noting that during the initial configuration state C1, flow F1 is routed over two mmWave link hops and F2 over one hop, while in C2, flow F1 experiences two wireless hops and F2 experiences three hops.…”

Section: Scenario I: Reconfiguration Under Low Traffic Volumementioning

confidence: 99%

mmWave Backhaul Testbed Configurability Using Software-Defined Networking

Santos

Koslowski

Daube

et al. 2019

Wireless Communications and Mobile Computing

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Future mobile data traffic predictions expect a significant increase in user data traffic, requiring new forms of mobile network infrastructures. Fifth generation (5G) communication standards propose the densification of small cell access base stations (BSs) in order to provide multigigabit and low latency connectivity. This densification requires a high capacity backhaul network. Using optical links to connect all the small cells is economically not feasible for large scale radio access networks where multiple BSs are deployed. A wireless backhaul formed by a mesh of millimeter-wave (mmWave) links is an attractive mobile backhaul solution, as flexible wireless (multihop) paths can be formed to interconnect all the access BSs. Moreover, a wireless backhaul allows the dynamic reconfiguration of the backhaul topology to match varying traffic demands or adaptively power on/off small cells for green backhaul operation. However, conducting and precisely controlling reconfiguration experiments over real mmWave multihop networks is a challenging task. In this paper, we develop a Software-Defined Networking (SDN) based approach to enable such a dynamic backhaul reconfiguration and use real-world mmWave equipment to setup a SDN-enabled mmWave testbed to conduct various reconfiguration experiments. In our approach, the SDN control plane is not only responsible for configuring the forwarding plane but also for the link configuration, antenna alignment, and adaptive mesh node power on/off operations. We implement the SDN-based reconfiguration operations in a testbed with four nodes, each equipped with multiple mmWave interfaces that can be mechanically steered to connect to different neighbors. We evaluate the impact of various reconfiguration operations on existing user traffic using a set of extensive testbed measurements. Moreover, we measure the impact of the channel assignment on existing traffic, showing that a setup with an optimal channel assignment between the mesh links can result in a 44% throughput increase, when compared to a suboptimal configuration.

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Section: Scenario I: Reconfiguration Under Low Traffic Volumementioning

confidence: 99%

mmWave Backhaul Testbed Configurability Using Software-Defined Networking

Santos

Koslowski

Daube

et al. 2019

Wireless Communications and Mobile Computing

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“…Moreover, all these requirements must be applied to the entire BH, which significantly complicates the reconfiguration. Existing work is mostly focused on effective flow migration techniques to avoid network disruption [10], yet an orchestrated reconfiguration of a mmWave BH is not properly addressed.…”

Section: Introductionmentioning

confidence: 99%

Optimal Steerable mmWave Mesh Backhaul Reconfiguration

Santos

Ghazzai

Kassler

2018

2018 IEEE Global Communications Conference (GLOBECOM)

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Future 5G mobile networks will require increased backhaul (BH) capacity to connect a massive amount of high capacity small cells (SCs) to the network. Because having an optical connection to each SC might be infeasible, mmWavebased (e.g. 60 GHz) BH links are an interesting alternative due to their large available bandwidth. To cope with the increased path loss, mmWave links require directional antennas that should be able to direct their beams to different neighbors, to dynamically change the BH topology, in case new nodes are powered on/off or the traffic demand has changed. Such BH adaptation needs to be orchestrated to minimize the impact on existing traffic. This paper develops a Software-defined networking-based framework that guides the optimal reconfiguration of mesh BH networks composed by mmWave links, where antennas need to be mechanically aligned. By modelling the problem as a Mixed Integer Linear Program (MILP), its solution returns the optimal ordering of events necessary to transition between two BH network configurations. The model creates backup paths whenever it is possible, while minimizing the packet loss of ongoing flows. A numerical evaluation with different topologies and traffic demands shows that increasing the number of BH interfaces per SC from 2 to 4 can decrease the total loss by more than 50%. Moreover, when increasing the total reconfiguration time, additional backup paths can be created, consequently reducing the reconfiguration impact on existing traffic.

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