Loop Resolution Mechanism for Flow-Aware Multi-Topology Adaptive Routing

Wójcik, Robert; Domżał, Jerzy; Duliński, Z.; Gawłowicz, Piotr; Jurkiewicz, Piotr

doi:10.1109/lcomm.2015.2439679

Cited by 8 publications

(7 citation statements)

References 11 publications

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“…This could be a little complex. The simple method is to follow one path for the existing flows 26 . If any congestion occurs, the old flows can follow the existing path, whereas the new flows can follow the next best path.…”

Section: Literature Survey and Related Workmentioning

confidence: 99%

Intelligence‐enabled approach for load balancing in software‐defined data center networks

Fancy

Pushpalatha

2021

Int J Communication

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Summary Software‐defined network provides eminent solutions for many complex network management functionalities in a data center network (DCN). One of the major tasks in any network is the load balancing in the available links. Due to dynamic data traffic nature in network, it is necessary to perform deep learning approaches for the long‐term and the short‐term data. This paper proposes a splitting policy‐based RL network (SPRLN) approach, a reinforcement learning‐based proactive load balancing algorithm that avoids the poll to the controller after the switch encounters an abnormality. The proposed method has been tested with simulations and found successful in improving the overall network performance by taking appropriate action for reward maximization. The testbed environment is treated as a Q‐learning algorithm; here, the optimality is defined as the path having the least score so that the overloaded path in that particular time can be avoided. An artificial neural network is needed because the data are uncertain all the time. Thus, the proposed SPRLN method yields 30% increased throughput and with 80% reduced data loss, when compared to existing approaches.

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Section: Literature Survey and Related Workmentioning

confidence: 99%

Intelligence‐enabled approach for load balancing in software‐defined data center networks

Fancy

Pushpalatha

2021

Int J Communication

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“…When a router detects lack of carrier on the outgoing link, the AddFFT element blocks for a fixed period (we assumed 5 s) a possibility to add new flows for that particular link. This operation is necessary for the correct implementation of the loop-resolution mechanism proposed in [15]. This mechanism assumes that after a link failure, all flow entries for this link are deleted from FFT.…”

Section: Router Componentsmentioning

confidence: 99%

Testing implementation of FAMTAR: Adaptive multipath routing

Jurkiewicz

Wójcik

Domżał

et al. 2020

Computer Communications

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Flow-Aware Multi-Topology Adaptive Routing (FAMTAR) is a new approach to multipath and adaptive routing in IP networks which enables automatic use of alternative paths when the primary one becomes congested. It provides more efficient network resource utilization and higher quality of transmission compared to standard IP routing. However, thus far it has only been evaluated through simulations. In this paper we share our experiences from building a realtime FAMTAR router and present results of its tests in a physical network. The results are in line with those obtained previously through simulations and they open the way to implementation of a production grade FAMTAR router.

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“…al. [3][4][5][6][7][8][9][10][11][12][13][14][15][16]. It is jointly working with Fixed Minimal Transmission Time (FMT) and this LASA-FMT is a Multi-Point Control Protocol.…”

Section: Load Adaptive Sequence Arrangement (Lasa) With Fixed Minimalmentioning

confidence: 99%

“…Upon receiving this information, the routers calculate new link to manage and avoid congested links. The newly calculated links are updated in the routing table [14][15][16][17]. This change is applicable for new flows alone.…”

Section: Flow-aware Multi-topology Adaptive Routing (Famtar)mentioning

confidence: 99%

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FA-LAR: an efficient flow aware based load adaptive routing scheme for optical communication networks

Swaminathan

Sakthivel

Subasree

2018

IJET

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Routing Protocols have been proposed to enable the network to identify and suggest various routes to number of demanded flows. In the Flow-Aware Network Models, the routes are identified and selected with the help of Flow Tables or Flow Identifiers that proposed by Flow Aggregation Mechanism. That is, users can define a Flow Aggregation Model to suggest routes depend on their defined-demanded flows and this model effectively handles many flows, which helps core routers to profit aggregate routing. This is an efficient and effective approach to identify a best route to achieve required performance. It is noted from the literature survey that the Flow-Aware Multi-Topology Adaptive Routing (FAMTAR) was proposed for achieving higher Network performance through multipath solutions. This FAMTAR Model was implemented and studied thoroughly. From the experimental results, it was noticed that this model unable to i. detect and manage bulk flow, ii. Control Traffic Loss and iii. Maintain Deviation of Links Load against Traffic Load. To address the above mentioned issues, this research work is proposed an efficient Flow-Aware based Load Adaptive Routing (FA-LAR). This model is developed and implemented in ns3 and the simulation results are analysed carefully. From the experimental results, it is noticed that the prosed Model, FA-LAR is performing well as compared with the existing FAMTAR in terms of Queueing Delay, Throughput, Power Consumption (Energy Dissipation), and Load Deviation. It is also noticed that the proposed model unable to achieve higher Throughput for Low Load.

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Loop Resolution Mechanism for Flow-Aware Multi-Topology Adaptive Routing

Cited by 8 publications

References 11 publications

Intelligence‐enabled approach for load balancing in software‐defined data center networks

Intelligence‐enabled approach for load balancing in software‐defined data center networks

Testing implementation of FAMTAR: Adaptive multipath routing

FA-LAR: an efficient flow aware based load adaptive routing scheme for optical communication networks

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