Results 81 to 90 of about 4,084 (211)

Autonomous QoS Management and Policing in Unmanaged Local Area Networks

open access: yesJournal of Computer Networks and Communications, 2015
The high increase of bandwidth-intensive applications like high definition video streaming in home and small office environments leads to QoS challenges in hybrid wired/wireless local area networks.
Christopher Köhnen   +4 more
doaj   +1 more source

TPMCF: Temporal QoS Prediction using Multi-Source Collaborative Features

open access: yes, 2023
Recently, with the rapid deployment of service APIs, personalized service recommendations have played a paramount role in the growth of the e-commerce industry.
Kumar, Suraj   +2 more
core  

Collaborative Filtering Techniques for Predicting Web Service QoS Values in Static and Dynamic Environments: A Systematic and Thorough Analysis

open access: yesIEEE Access
In recent years, the rapid growth of Web Services (WSs) has led to a proliferation of functionally similar options, making Quality of Service (QoS) a crucial factor for users in selecting the most suitable services. Predicting QoS values and recommending
Ghizlane Khababa   +6 more
doaj   +1 more source

Accurate Traffic Flow Prediction in Heterogeneous Vehicular Networks in an Intelligent Transport System Using a Supervised Non-Parametric Classifier

open access: yesSensors, 2018
Heterogeneous vehicular networks (HETVNETs) evolve from vehicular ad hoc networks (VANETs), which allow vehicles to always be connected so as to obtain safety services within intelligent transportation systems (ITSs).
Hesham El-Sayed   +7 more
doaj   +1 more source

SHARP-QoS: Sparsely-gated Hierarchical Adaptive Routing for joint Prediction of QoS

open access: yesCoRR
Dependable service-oriented computing relies on multiple Quality of Service (QoS) parameters that are essential to assess service optimality. However, real-world QoS data are extremely sparse, noisy, and shaped by hierarchical dependencies arising from QoS interactions, and geographical and network-level factors, making accurate QoS prediction ...
Suraj Kumar   +2 more
openaire   +2 more sources

Fuzzy logic inference system‐based hybrid quality prediction model for wireless 4kUHD H.265‐coded video streaming

open access: yesIET Networks, 2015
Networked visual applications such video streaming have grown exponentially in recent years, yet are known to be sensitive to network impairments. However, available measurement techniques that adopt a full reference model are impractical in real‐time ...
Mohammed Alreshoodi   +3 more
doaj   +1 more source

Network information exposure based QoS prediction in tele-operated driving

open access: yesDianxin kexue, 2023
The rapid development of 5G systems supports the stringent quality of service (QoS) requirements for many Internet of vehicles (IoV) use cases.However, there are still many problems in the adaptation of networks and applications.Network information ...
Yuhang JIA   +3 more
doaj   +2 more sources

Predictive dynamic multi-flow routing (PD-MFR) algorithm towards sixth generation (6G) software-defined networks

open access: yesJournal of Information and Telecommunication
We develop a dynamic Quality of Service (QoS) routing algorithm based on network traffic prediction for Sixth Generation (6G) SDNs. First, we formulate a mixed integer optimization model that incorporates the key constraints for Ultra-Reliable Low ...
Buse Pehlivan   +3 more
doaj   +1 more source

NordicDat: A Cross-Border Predictive QoS Dataset

open access: yesGLOBECOM 2024 - 2024 IEEE Global Communications Conference
The advent of 5G and beyond systems is expected to shape the automotive vertical, as safety-critical vehicular applications rely on the network to meet their stringent Quality of Service (QoS) requirements. Predictive QoS (pQoS) has been proposed as a mechanism that allows automotive applications to proactively adapt in view of forthcoming QoS changes.
Miekkala, Topi   +8 more
openaire   +2 more sources

Context-aware and Adaptive QoS Prediction for Mobile Edge Computing Services

open access: yes, 2019
Mobile edge computing (MEC) allows the use of its services with low latency, location awareness and mobility support to make up for the disadvantages of cloud computing, and has gained a considerable momentum recently.
Chu, D.H.   +4 more
core   +1 more source

Home - About - Disclaimer - Privacy