Results 111 to 120 of about 4,084 (211)
The success of emerging mobile services depends on the serviceability of the underlying wireless networks, expressed in terms of Quality of Service (QoS) provided by a network available to service user at a given geographical location and time. In general, this serviceability is a priori unknown.
Wac, Katarzyna +4 more
openaire +1 more source
a web service qos prediction approach based on multi-dimension qos
With the rapid development of web service, there are a lot of web services to be chosen. Consumers usually choose the suitable web service when they know little about web services. To address this problem, this paper presents a web service QoS prediction
Li Lu, Rong Mei, Zhang Guangquan
core
Multi-MNO Predictive-QoS for Vehicular Applications
Prachi Mittal, Tim Leinmüller
openaire +1 more source
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.The High Data Rate (HDR) Wireless Personal Area Networks (WPANs) typically have a limited operating range and are intended to support demanding multi-media ...
Mahmud, Sahibzada Ali
core
AI-Predicted Driven Hierarchically-Coordinated QoS Guarantee Mechanism for LEO Walker Constellation
This paper proposes an AI-predicted driven hierarchically-coordinated QoS (AIP-HC-QoS) architecture for LEO Walker constellation. The architecture employs an AI engine in the ground intelligence and control center (GICC) for link quality and service ...
LI Yi +5 more
doaj
QoS prediction for dynamic reconfiguration of component based software systems
It is difficult to choose the appropriate reconfiguration approach to satisfy the Quality of Service (QoS) requirements of a software system if the properties of that approach are not known. This problem significantly restricts the application of dynamic
Guo, Wanwu. +3 more
core
DAIS-MQTT: A Distributed MQTT Communication Method Based on Intelligent QoS Routing and Hierarchical Collaboration. [PDF]
Lian M +5 more
europepmc +1 more source
Negotiation-augmented federated reinforcement learning for conflict-free edge-cloud stream scheduling. [PDF]
Kang X, Hua C.
europepmc +1 more source
Correlation Analysis for the Prediction of QoS in V2V Networks
Vishakha Shukla +1 more
openaire +2 more sources
IoMT-Fog-Cloud-based AI frameworks for chronic disease diagnosis: updated comparative analysis with recent AI-IoMT models (2020-2025). [PDF]
Locharoenrat K.
europepmc +1 more source

