End-to-end internet speed analysis of mobile networks with mapReduce

Uzun, Mete; Abul, Osman

doi:10.1109/isncc.2016.7746114

Cited by 5 publications

(5 citation statements)

References 2 publications

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“…These classes range from 0G to 4G and also up to the proposed 5G to be launched in the year 2020. 2G was originally designed for voice communication only but data capability was added, [4].As a result of limited data-handling capabilities of second Generation(2G), third Generation (3G) mobile communications systems of Universal Mobile Telecommunications System (UMTS) standard were developed in order to have higher bit-rate services that enable high-quality images and video to be transmitted, and to provide access to Internet with higher data rates. UMTS data growth is driven by high-speed radio capability, flat-rate pricing schemes, and simple device installation, and its introduction has marked the transition of mobile communications from voice-dominated networks to packet-data ones [5].…”

Section: Introductionmentioning

confidence: 99%

“…Their research is a simulation work and the data are stochastically generated; so the experience of the users might be different [7]. Uzun & Abul [8]developed an internet speed analysis for mobile Internet Service Provider to conduct a research on end-to-end internet speed analysis of mobile networks with MapReduce in Turkey. The test system run periodically in several areas with actual usage scenarios and trace Transmission Control Protocol (TCP) packets in terms of download and upload were computed.…”

Section: Introductionmentioning

confidence: 99%

“…Scalability of user experience amongst the selected region and even better automatic detection of problem (Denial-of-Service, DoS) were addressed in the research. The research focuses only on one Internet Service Provider (ISP) [8]. Suharyanto, Simanjuntak, & Gunawan [9] performed a comparative internet analysis on service providers in Batman, parameters such as delay, jilters, throughput, download and upload where measured with some android apps(Network cell info, Oakla speed test and Speed test master).…”

Section: Introductionmentioning

confidence: 99%

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Assessment of Internet Service Provided using UMTS operators at the University of Ilorin main campus

Akanni¹,

Isa²,

Alao³

et al. 2020

Nig. J. Tech.

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Over the years the need for mobile broadband had seen a great increment due to the demand of internet mobile users. In this research work, data size for Internet operation on UMTS mobile network operators on the University of Ilorin Campus was assessed. The study assessed three UMTS network operators using an Infinix T627 android smart phone and RantCell App. to measure the download and upload at the selected points on the University of Ilorin Campus. It was observed that the number of active subscribers with their relative position in a cell have a great effect on the performance of the networks and therefore, the authors recommend the need for the operators to improve their data sizes so as to enhance users’ satisfaction. Keywords: GSM, CDMA, ISP, PS, UMTS.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Assessment of Internet Service Provided using UMTS operators at the University of Ilorin main campus

Akanni¹,

Isa²,

Alao³

et al. 2020

Nig. J. Tech.

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“…Finally, Section V concludes. A preliminary version of our work, which covers only the Geographic Region Based Deployment, appears in [5].…”

Section: Proactive Metering Of Mobile Internet User Experiencementioning

confidence: 99%

“…Clearly, KPIs depending on the tapping approach may fail in correctly characterizing the network quality and the true user experience. This suggests that for a proactive solution we need to measure the network quality and the true user experience with a holistic end-to-end analysis [5].…”

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confidence: 99%

Proactive Metering of Mobile Internet User Experience

Uzun¹,

Abul

2022

Balkan Journal of Electrical and Computer Engineering

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Having 67% worldwide share, mobile internet is very important for Internet Service Providers (ISPs). Since mobile Internet access is a collective service, Key Performance Indicators (KPIs) measuring quality of data traffic on select network segments/servers may not correctly indicate true user experience. For this reason, mobile ISPs are investing in sophisticated high-end commercial speed analysis systems which typically collect and analyze network traffic data from key network segments/servers. Unfortunately, their utility is quite limited as long as the proactive network intervention is considered. In this work, we develop a MapReduce based network speed analysis system which measures end-to-end network speed to quantify true user experience across multiple geographic regions and service categories. Also functioning as an online decision support system, it enables network administrators with timely ISP network intervention right before potential arrival of mass number of user complaints. The system has been tested with a leading mobile ISP in Turkey. The results confirm its effectiveness.

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Cyber forensics framework for big data analytics in IoT environment using machine learning

Chhabra

Singh

2018

Multimed Tools Appl

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End-to-end internet speed analysis of mobile networks with mapReduce

Cited by 5 publications

References 2 publications

Assessment of Internet Service Provided using UMTS operators at the University of Ilorin main campus

Assessment of Internet Service Provided using UMTS operators at the University of Ilorin main campus

Proactive Metering of Mobile Internet User Experience

Cyber forensics framework for big data analytics in IoT environment using machine learning

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