Improved IP-Level Emulation for Mobile and Wireless Systems

Conchon, Emmanuel; Garcia, Johan; Pérennou, Tanguy; Diaz, Michel

doi:10.1109/wcnc.2007.658

Cited by 5 publications

(5 citation statements)

References 11 publications

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“…Other uses of KauNet include transport protocol implementation verification (see for example [5]) as well as differnt transport layer and application layer performance evaluations (see for example [12], [8]). …”

Section: Ip-level Emulation With Kaunetmentioning

confidence: 99%

IP-level satellite link emulation with KauNet

Pérennou

Bouabdallah

Brunström

et al. 2009

2009 International Workshop on Satellite and Space Communications

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Abstract-Distributed applications and transport protocols communicating over a satellite link may react very strongly to conditions specific to that kind of link. Providing a evaluation framework to allow tests of real implementations of such software in that context is quite a challenging task. In this paper we demonstrate how the use of the general-purpose KauNet IP-level emulator combined with satellite-specific packet loss patterns can help by reproducing losses and delays experienced on a satellite link with a simple Ethernet LAN setup. Such a platform is an essential tool for developers performing continuous testing as they provide new features for e.g. video codecs or transport-level software like DCCP and its congestion control components.

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Section: Ip-level Emulation With Kaunetmentioning

confidence: 99%

IP-level satellite link emulation with KauNet

Pérennou

Bouabdallah

Brunström

et al. 2009

2009 International Workshop on Satellite and Space Communications

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“…W-NINE (Wireless NINE, NINE standing for NINE Is a Network Emulator [4,12]), depicted in Figure 3, is an IP-level wireless network emulation platform developed by LAAS-CNRS and ENSICA. W-NINE aims at using accurate and time-consuming models with a small time granularity while respecting real-time constraints.…”

Section: W-nine Overviewmentioning

confidence: 99%

“…For example, the ability of KauNet to precisely introduce losses in a communication has shown its usefulness to reproduce conditions that can be encountered during a multicast communication or when the 802.11 auto rate fallback (ARF) mechanism is deactivated [4]. For this purpose, SWINE now generates loss patterns during the communication step of the simulation stage according to the computed radio signal strengths.…”

Section: Generating Patterns With Swinementioning

confidence: 99%

KauNet

Garcia

Conchon²,

Pérennou³

et al. 2007

Proceedings of the 1st International Workshop on System Evaluation for Mobile Platforms

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This paper presents the KauNet emulation system that provides pattern-based emulation. KauNet enables bit precise placement of bit-errors, exact and repeatable packet losses, delays and bandwidth variations. The design and performance of KauNet is discussed. An example is also provided of how it can be integrated in a specific emulation framework to enhance emulation for mobile and wireless systems.

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“…But in a controlled (test) environment, traffic shapers are specifically used in the network emulations to vary the performance parameters such as loss, delay, jitter, bandwidth etc. to realize different network conditions [5]. Before testing any application in diversified circumstances of network using a traffic shaper, it is essential to evaluate the accuracy of the traffic shaper.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of throughput performance of traffic shapers

Minhas

Fiedler

Shaikh

et al. 2011

2011 7th International Wireless Communications and Mobile Computing Conference

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Traffic shapers are used by researchers to emulate the behavior of networks and applications in test environments, typically with user-defined traffic shaping parameters such as throughput and loss. Also, traffic shapers are used for the enforcement of SLA, so they are of interest for Internet Service Providers. However, output given by traffic shapers may not be as accurate as desired. Therefore, it is important to assess the accuracy of the implementation of traffic shapers. In this paper, we evaluate two traffic shapers with regard to the performance of their throughput shaping. For this evaluation, traces were collected. The properties of the resulting throughput at the outlet of the shaper are compared to the properties of the throughput at the inlet in combination with the preset shaper parameters. In this sense, we also compare shapers installed on Advance Micro Devices (AMD) and Intel platforms, and we use different PDU sizes and load levels to test the influence of those parameters on the shaping. We are furthermore able to deduct internal shaper parameters such as packet rate and buffer size from our measurements, and we analyse the statistical properties of the packet departure process. The extensive measurement results in this paper allow for a detailed assessment of the question whether the shaper performance is up to mark for a desired timescale. In general, the performance of both shapers and hardware platforms can be considered satisfactory on the investigated time scales between 1 ms and 1 s, with a slight advantage for NetEm on AMD.

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Improved IP-Level Emulation for Mobile and Wireless Systems

Cited by 5 publications

References 11 publications

IP-level satellite link emulation with KauNet

IP-level satellite link emulation with KauNet

KauNet

Evaluation of throughput performance of traffic shapers

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