Testing implementation of FAMTAR: Adaptive multipath routing

Jurkiewicz, Piotr; Wójcik, Robert; Domżał, Jerzy; Kamisiński, Andrzej

doi:10.1016/j.comcom.2019.10.029

Cited by 14 publications

(3 citation statements)

References 24 publications

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“…The controller was responsible both for managing emulated optical layer resources and routing and traffic engineering in the network. In data plane, we extended the Click-based FAMTAR router implementation provided in [21] with the elements necessary to communicate with the controller and operate in multi-layer architecture. At the beginning of each simulation, two classes of veth Linux tunnels were created between the nodes: direct IP layer interfaces between nodes directly connected in the emulated topology and bypass interfaces between all pairs of nodes in the network.…”

Section: Discussionmentioning

confidence: 99%

Employing FAMTAR and AHB to Achieve an Optical Resource-Efficient Multilayer IP-Over-EON SDN Network

et al. 2022

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With the global Internet traffic continuously growing, network operators face more and more challenges related to the management of their networks. Efficient utilization of the available network resources becomes crucial to maintain the desired Quality of Service level and control the upsurge in operational expenses. The combination of the Software-Defined Networking concept with the multi-layer network architecture can simplify the process of control and management of the network, its layers, and resources. In this paper, we propose a solution to enhance resource utilization in software-defined multilayer optical networks. The proposed solution takes the advantages of the Software-Defined Networking, Flow-Aware Multi-Topology Adaptive Routing, and Automatic Hidden Bypasses mechanisms to ensure simultaneous, multi-path data transmissions in both IP and optical layers. The Software-Defined Networking controller manages both mentioned mechanisms, selects the best possible bypass, and allocates lightpaths to ensure that the optical spectral efficiency is optimal. The evaluation shows that the proposed solution for multi-layer software-defined network increases the overall network performance and resource utilization.

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Section: Discussionmentioning

confidence: 99%

Employing FAMTAR and AHB to Achieve an Optical Resource-Efficient Multilayer IP-Over-EON SDN Network

et al. 2022

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“…That is the reason why research on distributed traffic engineering systems has been limited. The most prominent examples of such systems are MPLS-based MATE [4] and TeXCP [5], as well as flow-based FAMTAR [6].…”

Section: Proposalmentioning

confidence: 99%

International Journal of Electronics and Telecommunications

Jaglarz¹,

Rzym²,

Jurkiewicz³

et al. 2019

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In the article, a validation module, being a component of an integrated system supporting routing in software defined networks (SDNRoute), is proposed and thoroughly examined. The module allows for the verification of the results provided by the optimization module before these results are deployed in the production network. Routing policies are validated for their impact on the network quality parameters and against the threat of overloading (congestion).

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“…The selection of routes for new flows can be adjusted according to the current or anticipated network load, adaptively bypassing overloaded links. Additionally, such flow-based adaptive routing offers more stability than traditional dynamic load balancing [3].…”

Section: Introductionmentioning

confidence: 99%

Elephant Flow Classification on the First Packet With Neural Networks

Kądziołka,

Jurkiewicz,

Wójcik

et al. 2024

IEEE Access

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Quick and accurate identification of the largest flows in the network would allow for the management of most traffic using dedicated, flow-specific routes and policies, thereby significantly reducing the overall number of entries in switch flow tables. Our analysis focuses on utilizing neural networks to classify elephant flows based on the first packet using 5-tuple packet header fields. The findings indicate that with simple neural networks comprising solely linear layers, it is possible to accurately detect elephant flows at their inception, thereby reducing the number of flow table entries -by up to a factor of 15 -while still effectively covering 80% of the network traffic with individual flow entries.

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Testing implementation of FAMTAR: Adaptive multipath routing

Cited by 14 publications

References 24 publications

Employing FAMTAR and AHB to Achieve an Optical Resource-Efficient Multilayer IP-Over-EON SDN Network

Employing FAMTAR and AHB to Achieve an Optical Resource-Efficient Multilayer IP-Over-EON SDN Network

International Journal of Electronics and Telecommunications

Elephant Flow Classification on the First Packet With Neural Networks

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