A Flexible OpenFlow-Controller Benchmark

Jarschel, Michael; Lehrieder, Frank; Magyari, Zsolt; Pries, Rastin

doi:10.1109/ewsdn.2012.15

Cited by 67 publications

(37 citation statements)

References 4 publications

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“…Examples of such properties are connectivity, loop freedom, and access control [29]. A number of tools have also been proposed to evaluate the performance of OpenFlow controllers by emulating the load of large-scale networks (e.g., Cbench [390], OFCBenchmark [391], PktBlaster [392]). Similarly, benchmarking tools for OpenFlow switches are also available (e.g., OFLOPS [379], FLOPS-Turbo [393]).…”

Section: Testing and Verificationmentioning

confidence: 99%

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Software-Defined Networking: A Comprehensive Survey

et al. 2015

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Abstract-The Internet has led to the creation of a digital society, where (almost) everything is connected and is accessible from anywhere. However, despite their widespread adoption, traditional IP networks are complex and very hard to manage. It is both difficult to configure the network according to predefined policies, and to reconfigure it to respond to faults, load and changes. To make matters even more difficult, current networks are also vertically integrated: the control and data planes are bundled together. Software-Defined Networking (SDN) is an emerging paradigm that promises to change this state of affairs, by breaking vertical integration, separating the network's control logic from the underlying routers and switches, promoting (logical) centralization of network control, and introducing the ability to program the network. The separation of concerns introduced between the definition of network policies, their implementation in switching hardware, and the forwarding of traffic, is key to the desired flexibility: by breaking the network control problem into tractable pieces, SDN makes it easier to create and introduce new abstractions in networking, simplifying network management and facilitating network evolution.In this paper we present a comprehensive survey on SDN. We start by introducing the motivation for SDN, explain its main concepts and how it differs from traditional networking, its roots, and the standardization activities regarding this novel paradigm. Next, we present the key building blocks of an SDN infrastructure using a bottom-up, layered approach. We provide an in-depth analysis of the hardware infrastructure, southbound and northbound APIs, network virtualization layers, network operating systems (SDN controllers), network programming languages, and network applications. We also look at cross-layer problems such as debugging and troubleshooting. In an effort to anticipate the future evolution of this new paradigm, we discuss the main ongoing research efforts and challenges of SDN. In particular, we address the design of switches and control platforms -with a focus on aspects such as resiliency, scalability, performance, security and dependability -as well as new opportunities for carrier transport networks and cloud providers. Last but not least, we analyze the position of SDN as a key enabler of a software-defined environment.

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Section: Testing and Verificationmentioning

confidence: 99%

“…OFCBenchmark [391] evaluate OpenFlow controllers creates independent virtual switches, making is possible to emulate different scenarios. Each switch has its how configuration and statistics.…”

Section: Flow Table Capacitymentioning

confidence: 99%

Software-Defined Networking: A Comprehensive Survey

et al. 2015

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“…In [23], Jarschel introduce a tool for performance analysis, which includes more systematic measurements.…”

Section: Discussionmentioning

confidence: 99%

Performance evaluation of openflow controllers for network virtualization

Turull

Hidell

Sjödin

2014

2014 IEEE 15th International Conference on High Performance Switching and Routing (HPSR)

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Abstract-This paper investigates OpenFlow performance, focusing on how the delay between switch and OpenFlow controller can impact the performance of a network. We use open-source controllers that support network virtualization to evaluate how such delay impacts in ICMP, TCP and UDP traffic. We compare the controllers' flow set-up strategies and we propose several experiments to compare their TCP and UDP performance. In addition, we introduce a new metric to measure UDP packet losses at the beginning of the flow. The results of the measurements indicate that there are large differences in performance between controllers, and that performance depends on switch-controller delay and flow set-up strategy.

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“…This section evaluates the above model by measuring the performance of the well-known controller Floodlight with the publicly available benchmark Cbench [3].…”

Section: Performance Evaluationmentioning

confidence: 99%

“…Jarschel et al introduced a flexible OpenFlow controller benchmark Cbench to carry out the performance measurements on a per-switch basis [3]. The Cbench was utilized to measure different performance aspects of 4 publicly-available OpenFlow controllers (NOX, NOX-MT, Beacon, and Maestro) [4].…”

Section: Introductionmentioning

confidence: 99%

A Concise Queuing Model for Controller Performance in Software-Defined Networks

Xu¹,

Peng²,

Zhao³

2016

JCP

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Software-defined Networking (SDN) is commonly seen as a promising way towards future Internet. Understanding the performance and limitation of its logically centralized controllers is a prerequisite of SDN deployments. For this end, this paper proposes a concise queuing model for SDN controller performance. We first investigate that the input of a SDN controller is a hybrid Poisson stream of packet-in messages. Then, we analyze the message processing of a SDN controller to achieve a concise queuing model M/M/1 for its performance, and further derive its performance parameters from queuing theory. Finally, our proposed model is evaluated by measuring a well-known controller with the benchmark Cbench. Experimental results indicate that our model is a better approximation of the controller performance than the existing ones.

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A Flexible OpenFlow-Controller Benchmark

Cited by 67 publications

References 4 publications

Software-Defined Networking: A Comprehensive Survey

Software-Defined Networking: A Comprehensive Survey

Performance evaluation of openflow controllers for network virtualization

A Concise Queuing Model for Controller Performance in Software-Defined Networks

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