Performance Analysis of Multipath Deployment in Software-Defined Wide Area Network (SDWAN)

Yuniarto, Rakhmat; Sari, Riri Fitri

doi:10.1109/icaicst53116.2021.9497800

Cited by 2 publications

(1 citation statement)

References 17 publications

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“…Multi‐path connectivity allows taking two or more standard internet links and increases the survivability for SD‐WAN 14 . In Reference 20, throughput, delay, and packet loss from branches to HQ have been analyzed. The main idea of this investigation is based on performance evaluation of using a multi‐path link in SD‐WAN architecture and selection of the most suitable connection in case of failure or congestion.…”

Section: Related Workmentioning

confidence: 99%

Request delay and survivability optimization for software defined‐wide area networking (SD‐WAN) using multi‐agent deep reinforcement learning

Ouamri

Azni

Singh

et al. 2023

Trans Emerging Tel Tech

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Data exchange between headquarters and local branches represents a major challenge issue for business success. For this issue, traditional solutions applied to wide area networks (WAN) remain unrealistic and require a good knowledge of the systems. Recently, software‐defined wide area networking (SD‐WAN) plays a pivotal role and constitutes, in general, a reliable solution for wide area networking. Compared to the classical WAN, SD‐WAN decouples the control plane from gateway devices. Moreover, SD‐WAN are based on centralized WAN management with dynamic reconfiguration, allowing it to control the entire service requirements. Nevertheless, traffic management is the most usual metric in SD‐WAN. It gives a clear indication on propagation latency, request delay and survivability; that is, network connectivity. In this article, to guarantee an efficient quality of service and deal with the increased delay problem, we investigate the problem of joint optimization of average request delay and survivability in the proposed SD‐WAN model. The optimization approaches are formulated so as to minimize the average request delay and maximize the network connectivity. Subsequently, we adopt a multi‐agent deep Q‐Network algorithm to solve it, where the reward function is reformulated based on the optimization objective. Simulation results show that our strategy improves the system's performance significantly in terms of request delay and survivability, compared to traditional baseline algorithms.

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Section: Related Workmentioning

confidence: 99%

Request delay and survivability optimization for software defined‐wide area networking (SD‐WAN) using multi‐agent deep reinforcement learning

Ouamri

Azni

Singh

et al. 2023

Trans Emerging Tel Tech

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SSPRD: A Shared-Storage-Based Hardware Packet Reordering and Deduplication System for Multipath Transmission in Wide Area Networks

Ma,

Guo,

Song

2024

Micromachines

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To increase bandwidth and overcome packet loss in Wide Area Networks (WANs), per-packet multipath transmission and redundant transmission are increasingly being used as Software-Defined Wide Area Network (SD-WAN) solutions. However, this results in out-of-order and duplicate packets in the destination network. To restore sequential and unique data streams for multiple connections, hardware packet buffers with significant depth are required due to the large delay difference between WAN paths. To address this issue, SSPRD, a shared-storage-based packet reordering and deduplication system using a Field-Programmable Gate Array (FPGA), is proposed. The storage space for packets and sub-buffers is shared by all sessions with dynamic allocation. Packets are stored in the DDR and are sorted by their descriptors in the buffers. We also develop a sub-buffer-based timeout event handling algorithm. While supporting four sessions, SSPRD achieves a deep reorder buffer on hardware, with a depth of up to 15,360 packets per session. Compared with other solutions, SSPRD reduces buffer space usage by 62.5%, and reaches a packet reordering and deduplicating performance of 10 Gbps for 1500-byte packets.

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Performance Analysis of Multipath Deployment in Software-Defined Wide Area Network (SDWAN)

Cited by 2 publications

References 17 publications

Request delay and survivability optimization for software defined‐wide area networking (SD‐WAN) using multi‐agent deep reinforcement learning

Request delay and survivability optimization for software defined‐wide area networking (SD‐WAN) using multi‐agent deep reinforcement learning

SSPRD: A Shared-Storage-Based Hardware Packet Reordering and Deduplication System for Multipath Transmission in Wide Area Networks

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