FRT-SDN: an effective firm real time routing for SDN by early removal of late packets

Sedaghat, Shahrzad; Jahangir, Amir Hossein

doi:10.1007/s11235-022-00913-2

Cited by 1 publication

(1 citation statement)

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“…In Reference 35, the authors proposed a firm real‐time software‐defined approach (FRT‐SDN) for real‐time and time‐sensitive applications in SDN. The proposed FRT‐SDN scheme classifies received data into real‐time and non‐real‐time flows.…”

Section: Related Workmentioning

confidence: 99%

QoS‐based routing scheme in software‐defined networks using fuzzy analytic hierarchy process

Rezaei

Ghaffari

2023

Concurrency and Computation

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Summary Recently, with the rapid development of the Internet of Things (IoT) and its real‐time applications, the network is required to guarantee the differential quality of service (QoS) requirements of the various data flows (telemedicine, video, and live streaming) of various IoT services. Software‐defined network (SDN) as emerging network technology separates the control logic from data planes of networks and is a promising technique to guarantee the QoS requirements of different services. In SDN, the controller has global visibility of the whole network devices such as switches and routers. Hence, controllers can dynamically optimize QoS requirements and resources of the network. On the other hand, providing a QoS‐aware routing scheme is an important challenge. Hence, in this paper by capitalizing on the fuzzy analytic hierarchy process (AHP), a new QoS‐aware routing method is proposed in SDNs. The proposed scheme considers the combination of different QoS criteria such as bandwidth, route length, reliability, and bit error rate for selecting an appropriate route between sender and receiver nodes. The simulation results indicated that the proposed method improves throughput and end‐to‐end delay. Comparison with other routing algorithms shows that the proposed method performs better load balancing under different network topologies.

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Section: Related Workmentioning

confidence: 99%