Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/1985
Full metadata record
DC FieldValueLanguage
dc.contributor.authorUzun, Mete-
dc.contributor.authorAbul, Osman-
dc.date.accessioned2019-07-10T14:42:44Z-
dc.date.available2019-07-10T14:42:44Z-
dc.date.issued2016-
dc.identifier.citationUzun, M., & Abul, O. (2016, May). End-to-end internet speed analysis of mobile networks with mapReduce. In 2016 International Symposium on Networks, Computers and Communications (ISNCC) (pp. 1-6). IEEE.en_US
dc.identifier.isbn978-1-5090-0284-9-
dc.identifier.urihttps://ieeexplore.ieee.org/document/7746114-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/1985-
dc.descriptionInternational Symposium on Networks, Computers and Communications (ISNCC) (2016 : Hammamet, TUNISIA)-
dc.description.abstractPacket-based mobile networks are increasingly carrying internet traffic mostly for data intensive-applications. Mobile internet usage, with 67% share worldwide, is very important for mobile users. Because of the explosive growth of mobile data usage demand, data speed analysis is a very essential way to characterize network quality and user experience for service providers. Key Performance Indicators (KPIs), measured with data traffic analysis on network segments by current sophisticated systems, may not correctly capture users' Quality of Experience (QoE) due to actual throughput and latency. This is simply because; the data traffic analysis is not end-to-end. End-to-end analysis is very insuperable issue to measure service quality for user experience scaling and foreseeing user complaints. In this study we develop a distributed end-to-end internet speed test and analysis system for mobile networks. The system runs speed tests with actual end-to-end usage scenarios, traces communication packets and calculates download, upload and RTTs in mobile networks from user's point of view. Test results collected as large data sets are processed and analyzed in distributed fashion on cluster of computers using MapReduce Programming Model on Hadoop. The system is also able to render regional internet speed characteristics map and proactively characterizes QoE. As a result, it provides decision makers with indicators of user experience and getting ready for possible upcoming user complaints due to service quality degradation. The system is tested with a leading mobile ISP provider of Turkey and an experimental evaluation has been presented.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectbig dataen_US
dc.subjectmapReduceen_US
dc.subjecthadoopen_US
dc.subjectpacket analysisen_US
dc.subjectmobile performance analyticsen_US
dc.subjectuser experienceen_US
dc.titleEnd-To Internet Speed Analysis of Mobile Networks With Mapreduceen_US
dc.typeConference Objecten_US
dc.departmentFaculties, Faculty of Engineering, Department of Computer Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümütr_TR
dc.authorid0000-0002-9284-6112-
dc.identifier.wosWOS:000390125800038en_US
dc.identifier.scopus2-s2.0-85006018021en_US
dc.institutionauthorAbul, Osman-
dc.identifier.doi10.1109/ISNCC.2016.7746114-
dc.authorscopusid6602597612-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
item.openairetypeConference Object-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.dept02.3. Department of Computer Engineering-
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Show simple item record



CORE Recommender

SCOPUSTM   
Citations

2
checked on Dec 21, 2024

Page view(s)

86
checked on Dec 23, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.