Sensing the Internet through crowdsourcing

Gregori, Enrico; Lenzini, Luciano; Luconi, Valerio; Vecchio, Alessio

doi:10.1109/percomw.2013.6529490

Cited by 17 publications

(17 citation statements)

References 12 publications

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“…For example, monitoring tools may collect various network measurements (e.g., Portolan [7]) or physical-layer information to enable the detection of spectrum availability/usage, whitespace, and interference [8]. The reliability of the measurements and security are significant aspects that need to be addressed.…”

Section: Monitoringmentioning

confidence: 99%

“…In the context of u-map, monitoring can be performed at the user mobile devices, as well as at various gateways. The u-map data collection departs from state-of-the-art techniques in the following manner: unlike existing tools, which focus on specific network measurements [7,8], u-map obtains and correlates a rich set of multi-sourced data with QoE feedback (opinion scores) and geographical information. The collected data can be active or passive cross-layer QoS measurements, user demand statistics, and user preferences.…”

Section: Monitoringmentioning

confidence: 99%

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On user-centric tools for QoE-based recommendation and real-time analysis of large-scale markets

et al. 2014

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This article focuses on mechanisms that empower users with quality of experience recommendations and smart real-time analytics. It presents a user-centric recommendation system (called u-map) that enables users to collect network measurements and subjective opinion scores about the performance of various services. It also cross-correlates measurements obtained by u-map to provide geo-statistics, user profiles, and quality of experience prediction models for different services. The article also presents CoRLAB, a modular multi-layer framework for modeling and assessing various markets, services, and their evolution under a diverse set of customer populations and conditions. Umap feeds CoRLAB with user measurements and feedback in (semi) real-time. The article discusses how u-map and CoRLAB have been used to analyze telecommunication markets and services. It highlights the main research results, challenges, and potential research directions.

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Section: Monitoringmentioning

confidence: 99%

Section: Monitoringmentioning

confidence: 99%

On user-centric tools for QoE-based recommendation and real-time analysis of large-scale markets

et al. 2014

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“…Portolan [29], [30] was recently developed by the University of Pisa and IIT-CNR in order to reveal the Italian AS-level topology. To the best of our knowledge, Portolan is the first crowdsourcing platform based on mobile devices to perform topology discovery measurements.…”

Section: A Traceroute Infrastructuresmentioning

confidence: 99%

A study on traceroute potentiality in revealing the Internet AS-level topology

Faggiani

Gregori

Improta

et al. 2014

2014 IFIP Networking Conference

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Several works over the past few years have shown that the Internet AS-level topology is partially hidden from the current Internet measurement infrastructures. Most have focused on the incompleteness of the connectivity extracted from BGP data. A few have analysed the connectivity collected by traceroute measurement infrastructures showing the amount of connections introduced by traceroute campaigns. None, however, have investigated in detail the underlying rationale, i.e. the economic nature of the Internet. In this paper we fill this gap by analysing five traceroute infrastructures, found to be active in October 2013, with the p2c-distance metric, which is specifically designed to capture the complex economic dynamics that rule the Internet. We found that the traceroute infrastructures that currently run topology discovery measurements (Ark, DIMES and Portolan), together with BGP route collectors, are able to reveal the full connectivity of 23.50% of the Internet core ASes. This is a considerable improvement given that the BGP infrastructure alone is able to cover only 15.90% of the Internet core. This percentage could be increased up to 48.48% if the remaining two infrastructures (Dasu/Ono and RIPE Atlas) performed topology discovery campaigns. We also found that the placement of traceroute probes is not optimal from a topology discovery perspective, as it causes several probes to provide only redundant connectivity information. We show that the same number of traceroute probes optimally deployed, would be able to completely reveal the full AS connectivity of the Internet core.

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“…The coverage areas could be refined, for example, through measurement tools available for end-users' mobile devices measuring the speed of the Internet connection used. Those applications could be developed to also measure the signal strength, such as Portolan [18] and Netradar 2 , and to report the results along with the location and the BS ID to the information service database. Naturally, the different mobile devices and the positions in which the devices are held affect the results, but still they could provide valuable data for evaluating the current coverage area in the database and updating it to better describe the prevailing situation.…”

Section: A Service Architecturementioning

confidence: 99%

Scaling network information services to support HetNets and dynamic spectrum access

Piri

Schulzrinne

2014

J. Commun. Netw.

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Wireless network information services allow end systems to discover heterogeneous networks and spectrum available for secondary use at or near their current location, helping them to cope with increasing traffic and finite spectrum resources. We propose a unified architecture that allows end systems to find nearby base stations that are using either licensed, shared or unlicensed spectrum across multiple network operators. Our study evaluates the performance and scalability of spatial databases storing base station coverage area geometries. The measurement results indicate that the current spatial databases perform well even when the number of coverage areas is very large. A single logical spatial database would likely be able to satisfy the query load for a large national cellular network. We also observe that coarse geographic divisions can significantly improve query performance.

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Sensing the Internet through crowdsourcing

Cited by 17 publications

References 12 publications

On user-centric tools for QoE-based recommendation and real-time analysis of large-scale markets

On user-centric tools for QoE-based recommendation and real-time analysis of large-scale markets

A study on traceroute potentiality in revealing the Internet AS-level topology

Scaling network information services to support HetNets and dynamic spectrum access

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