Performance Monitoring of Various Network Traffic Generators

Kolahi, Samad S.; Narayan, Shaneel; Nguyen, D.D.T.; Sunarto, Y.

doi:10.1109/uksim.2011.102

Cited by 32 publications

(8 citation statements)

References 11 publications

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“…DATA GENERATION AND TRAFFIC MEASUREMENT TOOL JPerf 2.0.2 [13,15] tool with graphical interface was selected for this particular test-bed to analyze the performance of wireless Client-to-Server network on 802.11ac. IPerf, a C++ programming language tool, is a freeware end-to-end active tool used to measure the network performance.…”

Section: IIImentioning

confidence: 99%

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Impact of security on bandwidth and latency in IEEE 802.11ac client-to-server WLAN

Kolahi

Almatrook

2017

2017 Ninth International Conference on Ubiquitous and Future Networks (ICUFN)

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Section: IIImentioning

confidence: 99%

“…IPerf allows the user to set various parameters that can be used for evaluating a network, and provide tests for throughout, and delay [14]. IPerf has been found to provide the highest correct bandwidth measurement compared to other popular traffic generators in a laboratory environment [15].…”

Section: IIImentioning

confidence: 99%

Impact of security on bandwidth and latency in IEEE 802.11ac client-to-server WLAN

Kolahi

Almatrook

2017

2017 Ninth International Conference on Ubiquitous and Future Networks (ICUFN)

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“…It is shown that WEP64 and WEP128 give different throughput. In [3], wired-toSecond International Conference on Emerging Trends in Engineering and Technology, ICETET-09 978-0-7695-3884-6/09 $26.00 © 2009 IEEE wireless study was extended by including WPA encryption on three Windows Operating systems and this research again showed a similar result. A similar study has been undertaken in [4] and [5]; however these researches emphasize impact of increasing the number of associated stations on an access point.…”

Section: Related Researchmentioning

confidence: 54%

Impact of Wireless IEEE802.11n Encryption Methods on Network Performance of Operating Systems

Narayan

Feng

et al. 2009

2009 Second International Conference on Emerging Trends in Engineering &Amp; Technology

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Wireless technologies continue to play an increasing role in all kinds of networks. Wireless options are increasing and the cost of these technologies continues to decrease. It is anticipated that wireless networking of all types will become more prevalent in the years to come. However security and performance is a major concern. In this research, performance of wireless IEEE802.11n is evaluated on four operating systems, namely Windows XP, Vista, Server 2008 and Ubuntu. A network is created on a test-bed and performance related metrics is tested for both TCP and UDP protocols. Wireless security encryption methods (WEP-64, WEP-128, WPA and WPA2) are implemented on the operating systems to evaluate their network performance. This study shows that performance of wireless is operating system dependant, and various encryption methods impact performance significantly: throughput values decrease with some encryption methods, jitter and drop rates differ. It is also seen that WPA2 behaves significantly different to the other encryption methods.

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“…There are also tools to create different types of user dataflow, such as iperf, Distributed Internet Traffic Generator (D-ITG) [21], MGEN [22] and academic tests like reported in [23]. The experiments discussed later in Section III-C used D-ITG to study the effects of the data rate change in the interpacket latency and jitter.…”

Section: A Benchmark Toolsmentioning

confidence: 99%

Quantizing Radio Link Data Rates to Create Ever-Changing Network Conditions in Tactical Networks

et al. 2020

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Several sources of randomness can change the radio link data rate at the edge of tactical networks. Simulations and field experiments define these sources of randomness indirectly by choosing the mobility pattern, communication technology, number of nodes, terrain, obstacles and so on. Therefore, the distribution of change in the network conditions is unknown until the experiment is executed. We start with the hypothesis that a model can quantize the network conditions, using a set of states updated within a time window, to define and control the distribution of change in the link data rate before the experiment is executed. The goal is to quantify how much variation in the link data rate a tactical system can handle and how long it takes to resume IP data-flows after link disconnections. Our model includes functions to combine patterns of change together, transforming one pattern into another, jumping between patterns, and creating loops among different patterns of change. We use exemplary patterns to show how the change in the data rate impacts other link metrics, such as latency and jitter. Our hypothesis is verified with experiments using VHF radios over different patterns of change created by our model. We compute the inter-packet latency of three types of IP data-flows (broadcast, unicast and overlay) to highlight the time to resume data-flows after long link disconnections. The experimental results also support the discussion on the advantages and limitations of our model, which was designed to test tactical systems using military radios.

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Performance Monitoring of Various Network Traffic Generators

Cited by 32 publications

References 11 publications

Impact of security on bandwidth and latency in IEEE 802.11ac client-to-server WLAN

Impact of security on bandwidth and latency in IEEE 802.11ac client-to-server WLAN

Impact of Wireless IEEE802.11n Encryption Methods on Network Performance of Operating Systems

Quantizing Radio Link Data Rates to Create Ever-Changing Network Conditions in Tactical Networks

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