On the relation between network throughput and delay curves

Moudi, Mehrnaz; Othman, Мohamed

doi:10.1080/00051144.2020.1774731

Cited by 7 publications

(3 citation statements)

References 23 publications

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“…Therefore, as in [17], we generated our traffic dataset for the two channels as a linear combination of the 3 eigenfows (50% deterministic, 25% spike and 25% noise), and then we derived the delay according to the linear correlation between the two [37]. We assumed a minimum delay value equal to zero and a maximum value equal to 2 ms, and set the following delay thresholds: O 4 (t) = 1.1ms (channel-1) and O 5 (t) = 1.9ms (channel-2).…”

Section: Simulations and Resultsmentioning

confidence: 99%

On Deep Reinforcement Learning for Traffic Engineering in SD-WAN

Troia

Sapienza

Vare

et al. 2021

IEEE J. Select. Areas Commun.

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Section: Simulations and Resultsmentioning

confidence: 99%

On Deep Reinforcement Learning for Traffic Engineering in SD-WAN

Troia

Sapienza

Vare

et al. 2021

IEEE J. Select. Areas Commun.

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“…Untuk packet loss, berdasarkan gambar 12 dan 13 memiliki nilai yang sama sebesar 0%, hal tersebut disebabkan oleh wireshark yang tidak dapat mengetahui paket yang hilang pada protokol UDP. Lalu, berdasarkan gambar 14 dan 15 nilai rata-rata delay terbaik dimiliki oleh jaringan tanpa VLAN karena throughput yang dihasilkan lebih bagus yang menyebabkan delay menjadi lebih kecil [14]. Namun, jika dilihat lebih seksama peningkatan jumlah host menyebabkan jaringan yang menggunakan VLAN memiliki performa yang lebih baik dibandingkan dengan yang tidak menggunakan VLAN.…”

Section: Output Analysisunclassified

Pengaruh Penggunaan Vlan Pada Software Defined Network Berbasis Ryu Controller

Anam,

Septama,

et al. 2024

JITET

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Software Defined Network (SDN) is a network architecture that separates the control plane and data plane in networking devices, which then makes the control plane independent and programmable. The control plane task is taken by the controller, where the controller can manage all the rules in all networking devices, one type of controller is the Ryu controller. VLAN is a network configuration that distributes several different segments to devices connected to the network that can improve network performance. This study aims to determine the performance of VLAN on Software Defined Network using Ryu Controller using a simulation method with 2 scenarios, namely linear topology 3 OpenFlow Switch 30 hosts and linear topology 3 OpenFlow Switch 60 hosts with traffic of 100, 200, 300, and 400 Mb. Testing is carried out using the rest_router app on the Ryu controller which can run static routing without VLAN and with VLAN so that the difference between using VLAN and not can be seen. The test results show that the linear topology of 3 switches, whether 30 hosts or 60 hosts, can work well. Based on the test of QoS parameters Throughput, Packet Loss, and Jitter, the overall of VLAN is less good than without VLAN, with values of 222.9 Mbps, 0%, 0.0000636 s, and 0.0000675 ms, respectively. However, as the number of hosts increases, VLAN is more reliable.

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“…As mentioned earlier, a low-dimensional network is better [16][17][18]. However, to interconnect millions of nodes, a conventional low-dimensional network is not suitable [19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

TFBN: A Cost Effective High Performance Hierarchical Interconnection Network

et al. 2020

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In order to fulfill the increasing demand for computation power to process a boundless data concurrently within a very short time or real-time in many areas such as IoT, AI, machine learning, smart grid, and big data analytics, we need exa-scale or zetta-scale computation in the near future. Thus, to have this level of computation, we need a massively parallel computer (MPC) system that shall consist of millions of nodes; and, for the interconnection of these massive numbers of nodes, conventional topologies are infeasible. Thus, a hierarchical interconnection network (HIN) is a rational way to connect huge nodes. Through this article, we are proposing a new HIN, which is a tori-connected flattened butterfly network (TFBN) for the next generation MPC system. Numerous basic modules are hierarchically interconnected as a toroidal connection, whereby the basic modules are flattened butterfly networks. We have studied the network architecture, static network performance, and static cost-effectiveness of the proposed TFBN in detail; and compared static network and cost-effectiveness performance of the TFBN to those of TTN, torus, TESH, and mesh networks. It is depicted that TFBN possesses low diameter and average distance, high arc connectivity, and temperate bisection width. It also has better cost-effectiveness and cost-performance trade-off factor compared to those of TTN, torus, TESH, and mesh networks. The only shortcoming is that the complexity of wiring of the TFBN is higher than that of those networks; this is because the basic module necessitates some extra short length link to form the flattened butterfly network. Therefore, TFBN is a high performance and cost-effective HIN, and it will be a good option for the next generation MPC system.

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On the relation between network throughput and delay curves

Cited by 7 publications

References 23 publications

On Deep Reinforcement Learning for Traffic Engineering in SD-WAN

On Deep Reinforcement Learning for Traffic Engineering in SD-WAN

Pengaruh Penggunaan Vlan Pada Software Defined Network Berbasis Ryu Controller

TFBN: A Cost Effective High Performance Hierarchical Interconnection Network

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