Performance assessment of 40 Gbit/s off-the-shelf network cards for virtual network probes in 5G networks

Leira, Rafael; Julián-Moreno, Guillermo; González, Iván; Gómez-Arribas, Francisco J.; Vergara, Jorge E. López de

doi:10.1016/j.comnet.2019.01.033

Cited by 11 publications

(6 citation statements)

References 30 publications

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“…For OpenNetVM, the maximum throughput saturated around 9 Mpps for short packet traffic. Disabling a flow lookup feature 9 improved the performance to 13 Mpps, but optimized OpenNetVM still underperformed Default (64-bytes). However, OpenNetVM outperformed even IOVTee for larger packet traffic due to the zero-copy effect on the Tx path.…”

Section: B Round-2: Analyzing Performance Characteristicsmentioning

confidence: 99%

“…(CNFs/VNFs); however, many studies have demonstrated substantially lower packet forwarding efficiency of CNFs/VNFs than both hardware-based and (baremetal-formed) softwarebased implementations [7][8] [9][10] [11]. Now performance-critical NFs are deployed on white-box switches equipped with a programmable ASIC.…”

Section: Introductionmentioning

confidence: 99%

“…The maximum rate of Baremetal was 38.48 Mpps (64 bytes) 9. Each received packet is matched against a flow table to determine the first NF on the host side (default action), and this behavior can be disabled by invalidating FLOW_LOOKUP macro.…”

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confidence: 99%

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Software Physical/Virtual Rx Queue Mapping Toward High-Performance Containerized Networking

Kawashima

2021

IEEE Trans. Netw. Serv. Manage.

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Softwarization of Network Functions (NFs) accelerates automated deployment and management of services on nextgen networks. Combining flexibility and high-performance is a vital requirement for Network Functions Virtualisation (NFV); however, many studies have demonstrated that containerization or virtualization of NFs severely degrades the fundamental efficiency of packet forwarding. Virtual network I/O, a mechanism of packet transferring between a guest and the host, has been seen as the performance bottleneck in the PVP (Physical-Virtual-Physical) datapath, and one of the main causes of this deterioration is packet copy between them. Various techniques, such as zero-copy, pass-through, and hardware offloading, have been examined to alleviate the performance overhead. However, existing designs and implementations incur pragmatic issues, such as compatibility, manageability, and insufficient quality of performance. We propose yet another design and implementation of zero-copy/pass-through acceleration (named IOVTee) to resolve real-world problems as well as to enhance the forwarding efficiency. IOVTee takes advantage of pre-processing of virtual switches with achieving zero-copy on the receive (Rx) path. The pluggable style of IOVTee for vhost-user (the de-facto virtual network I/O) enables our approach to be transparent to both containers/VMs and virtual switches. In this paper, we explain the heart of IOVTee, a fully software-based Rx queue mapping mechanism (between physical and virtual) that enables a concept of Virtual DMA Write-through (to the NF). Our evaluation results showed that applying IOVTee to vhost-user drastically increased efficiency of packet forwarding in the PVP datapath (by 45% and 98% for traffic of 64-byte and 1514-byte packets respectively).

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Section: B Round-2: Analyzing Performance Characteristicsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Software Physical/Virtual Rx Queue Mapping Toward High-Performance Containerized Networking

Kawashima

2021

IEEE Trans. Netw. Serv. Manage.

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“…Spectral analysis of laser is an important method to analyze target features [1]. The analysis and recognition of laser interference images are used in many fields, such as laser warning, drug identification, and so on [2]. If a large amount of information can be quickly and accurately classified and communicated, it will be very practical.…”

Section: Introductionmentioning

confidence: 99%

Edge GPU cluster processing system for laser interference image collection

Chang

Li²

2022

Front. Phys.

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In order to realize the real-time processing and communication of multi-laser interference images, a GPU cluster processing system for laser interference images was designed. The measured target was illuminated by multiple lasers, and the image information of the multi-laser interference fringes was obtained by the CCD. The data of laser interference images from CPU was transmitted by the GPU cluster, and the image feature recognition and transmission were completed through the cluster image processing module. A multi-channel laser interference image transmission algorithm was designed by the multi-core and multi-buffer (MCMB) algorithm. In the experiment, the laser interference images were collected by the CPU, and then the real-time communication of multi-channel images data was completed by the GPU cluster. The packet loss rate experiment showed that when the data traffic reached 110, the data was lost with the traditional UDP communication algorithm, and the slope of the fitting curve was 0.6,053. When the data flow reached 160, the data was lost with MCMB algorithm, and the slope of the fitting curve was 0.2,181. In contrast, the GPU occupancy of this algorithm was improved, and it was still not saturated at 210 data streams. In a word, the system has better optimization effect in real-time processing and communication of multi-laser interference images.

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“…Such a large data rate and information volume calls for a radical departure from the traditional approach of capturing every piece of data and analysing them later. Selective packet capture is sure to be foundational in the analysis of traffic rates of 40 Gbps and beyond [6], [17], [22].…”

Section: Introductionmentioning

confidence: 99%

NATRA: Network ACK-Based Traffic Reduction Algorithm

2020

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Traffic monitoring involves packet capturing and processing at a very high rate of packets per second. Typically, flow records are generated from the packet traffic, such as TCP flow records that feature the number of bytes and packets in each direction, flow duration, number of different ports, and other metrics. Delivering such flow records, about network traffic flowing at tens of Gbps is rather challenging in terms of processing power. To address this problem, traffic thinning can be applied to reduce the input load, by swiftly discarding useless packets at the sniffer NIC or driver level, which effectively reduces the load on software layers that handle traffic processing. This work proposes an algorithm that drops empty ACK packets from TCP traffic, thus achieving a significant reduction in the packets per second that must be handled by each traffic module. The tests discussed below show that the algorithm achieves a 25% decrease in the packets per second rate with minimal information loss. INDEX TERMS Network traffic thinning, traffic processing, sniffer architecture.

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Performance assessment of 40 Gbit/s off-the-shelf network cards for virtual network probes in 5G networks

Cited by 11 publications

References 30 publications

Software Physical/Virtual Rx Queue Mapping Toward High-Performance Containerized Networking

Software Physical/Virtual Rx Queue Mapping Toward High-Performance Containerized Networking

Edge GPU cluster processing system for laser interference image collection

NATRA: Network ACK-Based Traffic Reduction Algorithm

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Performance assessment of 40 Gbit/s off-the-shelf network cards for virtual network probes in 5G networks

Cited by 11 publications

References 30 publications

Software Physical/Virtual Rx Queue Mapping Toward High-Performance Containerized Networking

Software Physical/Virtual Rx Queue Mapping Toward High-Performance Containerized Networking

Edge GPU cluster processing system for laser interference image collection

NATRA: Network ACK-Based Traffic Reduction Algorithm

Contact Info

Product

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Performance assessment of 40 Gbit/s off-the-shelf network cards for virtual network probes in 5G networks