Throughput and Latency of Virtual Switching with Open vSwitch: A Quantitative Analysis

Emmerich, Paul; Raumer, Daniel; Gallenmüller, Sebastian; Wohlfart, Florian; Carle, Georg

doi:10.1007/s10922-017-9417-0

Cited by 47 publications

(31 citation statements)

References 22 publications

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“…The decision to collect the data in this way is due to the fact the test values are not constant because of OVS's variable latency and throughput limitation when using an emulated virtual network environment such as Mininet [28].…”

Section: Resultsmentioning

confidence: 99%

“…Another relevant fact is that latency is also affected by the load of the switch. This effect is especially visible when OVS is running in the Linux kernel due to its interruption techniques, leading to varying latency as the load changes [28]. The testbed created tried to minimize this with the use of a preemptive kernel, as previously explained in Section 4.4.5.…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Deploying Time-based Sampling Techniques in Software-Defined Networking

Teixeira

Silva

Lima

2018

2018 26th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)

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show abstract

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Deploying Time-based Sampling Techniques in Software-Defined Networking

Teixeira

Silva

Lima

2018

2018 26th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)

View full text Add to dashboard Cite

show abstract

“…However, this requires infrastructural changes and is associated with a performance degradation for all flows that are forced to use the slow path via the virtual switch. Performance characteristics and limitations of virtual switching were intensively studied in the recent past [35], [36], [37]. Even if only a fraction of the traffic is affected, this might be inapplicable for many scenarios [26].…”

Section: B Constraints Of Individual Devicesmentioning

confidence: 99%

The Power of Composition: Abstracting a Multi-Device SDN Data Path Through a Single API

Geissler

Herrnleben

Bauer

et al. 2020

IEEE Trans. Netw. Serv. Manage.

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Software Defined Networking aims to separate network control and data plane by moving the control logic from network elements into a logically-centralized controller. Using a well-defined, unified control-channel protocol, such as OpenFlow, the controller is able to configure the forwarding behavior of data plane devices. Here, the OpenFlow protocol is translated to vendor-and device-specific instructions that, for instance, manipulate the flow table entries of a switch. In practice, SDNenabled switches often feature different hardware capabilities and configurations with respect to the number of flow tables, their implementation, and which kind of data plane features they support. This leads to device heterogeneity within the SDN landscape, thereby obstructing the increased scalability and flexibility promised by the SDN paradigm. To overcome this challenge we propose TableVisor, a transparent proxy-layer for the SDN control channel that enables the flexible abstraction of heterogeneous data plane devices into a single emulated data plane switch. In this paper, we extend our previous work by introducing features to integrate modern P4 devices into an existing SDN environment and perform a detailed performance evaluation to quantify the overhead induced by our approach.

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“…According to their results, the standard Open vSwitch fails to achieve 2 Mpps with 64B packets. The same authors further analyze the throughput and latency of Open vSwitch in [15]. Paper [16] presents an evaluation of OvS-DPDK throughput using port/flow mirroring with 1 Gbps NICs.…”

Section: B Performance Comparisonmentioning

confidence: 99%

“…While interest in software switches is soaring, the relative merits of different proposals are still not well-understood in the absence of comprehensive, comparative performance analysis. It is indeed a daunting task to perform such an evaluation [14], and most published comparisons relate to a small number of switch proposals [15], [16] or execute a limited number of test scenarios [5]. The objective of our work is to propose a methodology for comparing switch performance in terms of essential metrics like throughput and latency.…”

Section: Introductionmentioning

confidence: 99%

Comparing the performance of state-of-the-art software switches for NFV

Zhang

Linguaglossa

Gallo

et al. 2019

Proceedings of the 15th International Conference on Emerging Networking Experiments and Technologies

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With the ultimate goal of replacing proprietary hardware appliances with Virtual Network Functions (VNFs) implemented in software, Network Function Virtualization (NFV) has been gaining popularity in the past few years. Software switches route traffic between VNFs and physical Network Interface Cards (NICs). It is of paramount importance to compare the performance of different switch designs and architectures. In this paper, we propose a methodology to compare fairly and comprehensively the performance of software switches. We first explore the design spaces of seven state-of-the-art software switches and then compare their performance under four representative test scenarios. Each scenario corresponds to a specific case of routing NFV traffic between NICs and/or VNFs. In our experiments, we evaluate the throughput and latency between VNFs in two of the most popular virtualization environments, namely virtual machines (VMs) and containers. Our experimental results show that no single software switch prevails in all scenarios. It is, therefore, crucial to choose the most suitable solution for the given use case. At the same time, the presented results and analysis provide a deeper insight into the design tradeoffs and identifies potential performance bottlenecks that could inspire new designs.

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Throughput and Latency of Virtual Switching with Open vSwitch: A Quantitative Analysis

Cited by 47 publications

References 22 publications

Deploying Time-based Sampling Techniques in Software-Defined Networking

Deploying Time-based Sampling Techniques in Software-Defined Networking

The Power of Composition: Abstracting a Multi-Device SDN Data Path Through a Single API

Comparing the performance of state-of-the-art software switches for NFV

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