TY  - CONF
PB  - Institute of Electrical and Electronics Engineers Inc.
SP  - 287
AV  - none
ID  - scholars6470
N1  - cited By 12; Conference of 3rd International Conference on Computer and Information Sciences, ICCOINS 2016 ; Conference Date: 15 August 2016 Through 17 August 2016; Conference Code:125433
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85010440981&doi=10.1109%2fICCOINS.2016.7783229&partnerID=40&md5=14d54887a82bb06e49084351e27cac81
A1  - Qaiyum, S.
A1  - Aziz, I.A.
A1  - Jaafar, J.B.
EP  - 292
N2  - The proliferation of smart devices, along with the availability of bandwidth-intensive applications are generating huge volumes of data that create challenges to IT industries. Data handling becomes more troublesome when mobile user's gather in tens and thousands of quantity at confine locations and generates Big Data. Analysis and storing of this huge, varied and complex data put great challenges to the Network Service Providers (NSP). Thus, service providers are facing problems in managing big data in dense environment and maintaining user's Quality of Experience (QoE). However, big data also provide great opportunities to NSP. The accurate analysis of big data in real-time reveals the user experience of network services which helps the service providers to take timely action to improve user QoE. Thus, this paper presents an overview of Big Data and QoE in High-Density Wireless Network (HDWN) environment. © 2016 IEEE.
SN  - 9781509051342
KW  - Complex networks; Data handling; Information science; Internet service providers; Quality control; Quality of service; Wireless networks
KW  -  Accurate analysis; Bandwidth-intensive applications; HDWN; Network service providers; Network services; Quality of experience (QoE); Service provider; User experience
KW  -  Big data
TI  - Analysis of Big Data and Quality-of-Experience in High-Density Wireless Network
Y1  - 2016///
ER  -