Results 61 to 70 of about 1,630 (178)
The heterogeneity of the network at the edge creates unequal bandwidth availability for clients connected through diverse networks and devices. This variability can lead to bandwidth fluctuations and slow response times, resulting in buffering or degraded streaming performance.
Reza Kalan +3 more
wiley +1 more source
With the rapid growth of the Internet of Things (IoT), traditional infrastructures have evolved into intelligent systems that generate large volumes of dynamic and heterogeneous data, significantly increasing the need for efficient processing, analysis, and storage.
Saeid Safarzad +3 more
wiley +1 more source
Modeling of Quality of Experience in No-Reference Model
The key objective of no-reference (NR) visual metrics is to predict the end-user experience concerning remotely delivered video content. Rapidly increasing demand for easily accessible, high quality video material makes it crucial for service providers ...
Jakub Nawała +2 more
doaj +1 more source
Joint Planning for Task Scheduling and Task Result Caching in the Fog Using Reinforcement Learning
The rapid expansion of the Internet of Things (IoT) has greatly increased the number of sensors operating within cloud–fog environments. As more users generate processing tasks, there is a critical need to deliver swift and efficient responses. To address this challenge, it is essential to develop a task scheduling framework that leverages available ...
Mohammad Hassan Nataj Solhdar +2 more
wiley +1 more source
A Review of the Internet of Things (IoT) Landscape: Technologies, Applications, and Open Challenges
The Internet of Things (IoT) has emerged as a large‐scale ecosystem that integrates sensing, communication, and computation across diverse application domains. Its deployment spans smart homes, wearable devices, industrial automation, and smart cities, where heterogeneous devices are required to operate under strict performance, reliability, and ...
Sidna Jeddou +5 more
wiley +1 more source
A Comprehensive Survey on LLM‐Based Network Management and Operations
ABSTRACT The growing demands for network capacity and the increasing complexities of modern network environments pose significant challenges for effective network management and operations. In response, network operators and administrators are moving beyond traditional manual and rule‐based methods, adopting advanced artificial intelligence (AI)‐driven
Jibum Hong +2 more
wiley +1 more source
QoE-Aware Intelligent Vertical Handoff Scheme Over Heterogeneous Wireless Access Networks
As a measurement, quality of service (QoS) has been commonly taken into account in the traditional vertical handoff schemes for the heterogeneous wireless access networks.
Jiamei Chen +3 more
doaj +1 more source
Reordering Webpage Objects for Optimizing Quality-of-Experience
The quality of experience (QoE) perceived by users is a critical performance measure for Web browsing. “Above-The-Fold” (ATF) time has been recently recognized and widely used as a direct measure of user-end QoE by a number of studies.
Weiwang Li +5 more
doaj +1 more source
Continuous Prediction for Quality of Experience in Wireless Video Streaming
Due to the rapid development of communication technologies, the requirement of mobile video streaming services is extremely increased in recent years.
Wenjuan Shi, Yanjing Sun, Jinqiu Pan
doaj +1 more source
QoE oriented intelligent online learning evaluation technology in B5G scenario
Students' demand for online learning has exploded during the post-COVID-19 pandemic era. However, due to their poor learning experience, students' dropout rate and learning performance of online learning are not always satisfactory.
Mingzi Chen +3 more
doaj +1 more source

