Analysis of Big Data and Quality-of-Experience in High-Density Wireless Network

Qaiyum, S. and Aziz, I.A. and Jaafar, J.B. (2016) Analysis of Big Data and Quality-of-Experience in High-Density Wireless Network. In: UNSPECIFIED.

Full text not available from this repository.
Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

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.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Impact Factor: cited By 11
Uncontrolled Keywords: Complex networks; Data handling; Information science; Internet service providers; Quality control; Quality of service; Wireless networks, Accurate analysis; Bandwidth-intensive applications; HDWN; Network service providers; Network services; Quality of experience (QoE); Service provider; User experience, Big data
Depositing User: Ms Sharifah Fahimah Saiyed Yeop
Date Deposited: 25 Mar 2022 06:55
Last Modified: 25 Mar 2022 06:55
URI: http://scholars.utp.edu.my/id/eprint/30474

Actions (login required)

View Item
View Item