Measuring Web Quality of Experience in Cellular Networks

Asrese, Alemnew Sheferaw; Walelgne, Ermias Andargie; Bajpai, Vaibhav; Lutu, Andra; Alay, Özgü; Ott, Jörg

doi:10.1007/978-3-030-15986-3_2

Cited by 20 publications

(15 citation statements)

References 82 publications

(114 reference statements)

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“…The gathered data, fundamentally the latency, allowed them to identify of different operators, although using all available features increased the accuracy of the classifier. In addition, the quality of experience of web services has been experimentally measured with probes by collecting user traces, some examples being [ 19 , 20 ].…”

Section: Related Workmentioning

confidence: 99%

Cellular Network Radio Monitoring and Management through Virtual UE Probes: A Study Case Based on Crowded Events

Baena

Fortes

Alay

et al. 2021

Sensors

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Although log processing of network equipment is a common technique in cellular network management, several factors make said task challenging, especially during mass attendance events. The present paper assesses classic methods for cellular network measurement and acquisition, showing how the use of on-the-field user probes can provide relevant capabilities to the analysis of cellular network performance. Therefore, a framework for the deployment of this kind of system is proposed here based on the development of a new hardware virtualization platform with radio frequency capabilities. Accordingly, an analysis of the characteristics and requirements for the use of virtual probes was performed. Moreover, the impact that social events (e.g., sports matches) may have on the service provision was evaluated through a real cellular scenario. For this purpose, a long-term measurement study during crowded events (i.e., football matches) in a stadium has been conducted, and the performances of different services and operators under realistic settings has been evaluated. As a result, several considerations are presented that can be used for better management of future networks.

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Section: Related Workmentioning

confidence: 99%

Cellular Network Radio Monitoring and Management through Virtual UE Probes: A Study Case Based on Crowded Events

Baena

Fortes

Alay

et al. 2021

Sensors

Self Cite

View full text Add to dashboard Cite

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“…Finally, it is vital to understand the users' QoE. Asrese et al [29] present a measurement tool to measure web latency and QoE in the cellular network. They show that the DNS lookup time and Page Load Time (PLT) of the visited websites have similar performance in LTE and fixed-line networks.…”

Section: Related Workmentioning

confidence: 99%

ERRANT: Realistic emulation of radio access networks

2020

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Mobile devices drastically changed how people use the Internet. We use smartphones to access a heterogeneous catalog of web services such as news, social networks, audio/video streaming. Differently from wired connections, mobile networks do not offer the same kind of performance stability yet. Thus, service providers have to handle different network scenarios, e.g., 3G or 4G, while promising good end-users' quality of experience (QoE). To ensure that QoE is adequate, it is necessary to thoroughly test applications with a wide range of possible network conditions. For this, network emulation is of vital importance as it allows a tester to run experiments with a wide range of network conditions. However, when it comes to mobile networks, the variety of technical characteristics, coupled with the opaque network configurations, makes realistic emulation a challenging task. Most of the freely available emulation tools rely on a simple emulation, offering limited variability performances for each network condition.In this paper, we propose ERRANT, EmulatoR of Radio Access NeTworks, an open-source tool that emulates mobile networks with a high level of realism, following a data-driven approach. We use a large-scale dataset composed of 100 k speed test measurements collected from 4 network operators in 2 countries. We create 32 different network profiles based on different countries, operators, radio access technologies, and signal qualities. For each profile, we obtain both typical behavior and variability for latency, download and upload bandwidth. We use the profiles to create models by means of the Kernel Density Estimation. Then, ERRANT employs the tc-netem Linux tool and the models for emulation. In this way, ERRANT offers realistic network emulation, in which both typical behavior and network variability are accurately recreated.We validate ERRANT models with an independent dataset of HTTP downloads performed on the same mobile networks as of the profiles. Results show the effectiveness of ERRANT in the emulation of real mobile networks in terms of average behavior and obtained variability. We also show the limitations of a simple emulation, and of other freeware approaches versus ERRANT. Finally, we show two practical use cases to demonstrate the benefits of a dynamic emulation in understanding the performance of web browsing and video streaming. To run new measurement campaigns and create new models, we provide guidelines along with the required open-source code.

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“…The Internet is scared in Indonesian rural [1]. The signal scarcity in Indonesian rural is apparent and may easily be obtained from OpenSignal apps crowdsourcing [2][3][4]. Consequently, for rural applications, all materials, such as multimedia files video, audio, photos as well as Internet web content including Wikipedia, should be copied to a low-cost local server called internet-offline server [5].…”

Section: Consequences Of Ict Class Re-inclusion Into School Curriculummentioning

confidence: 99%

Internet-offline solution: detail description and benchmarking

Purbo

2020

TELKOMNIKA

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In this paper, for the first time, the detail of the internet-offline solution for rural/village schools is described, and its benchmarking is reported. For providing offline knowledge access, four (4) different systems have examined. An affordable, the Raspberry Pi3 server found to be able to provide web as well as file sharing service for up to 20 clients at 100 Mbps throughput. UnixBench shows that the Raspberry Pi3 about 25% performance of a four-core i5 system. Using consumer grade power banks at 10000-20000 mAh, the Raspberry Pi3 server may provide a 6+ hour operation. With reliable electrical power, a mini PC provides a more reliable alternative at an order of magnitude increase in cost. For more than 100 users, one may use i5 or higher engines to keep the price-performance ratio low. Besides, in the internet-offline system, teachers no longer have to worry about bullies, hoax, or pornographic contents.

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Measuring Web Quality of Experience in Cellular Networks

Cited by 20 publications

References 82 publications

Cellular Network Radio Monitoring and Management through Virtual UE Probes: A Study Case Based on Crowded Events

Cellular Network Radio Monitoring and Management through Virtual UE Probes: A Study Case Based on Crowded Events

ERRANT: Realistic emulation of radio access networks

Internet-offline solution: detail description and benchmarking

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