Less data, more knowledge: Building next generation semantic communication networks
Semantic communication is viewed as a revolutionary paradigm that can potentially
transform how we design and operate wireless communication systems. However, despite a …
transform how we design and operate wireless communication systems. However, despite a …
Modeling feature interactions for context-aware QoS prediction of IoT services
Abstract Accurate Quality of Service (QoS) prediction of service is a key measure to
accomplish successful applications such as QoS-aware service recommendation and …
accomplish successful applications such as QoS-aware service recommendation and …
A new QoS prediction model using hybrid IOWA-ANFIS with fuzzy C-means, subtractive clustering and grid partitioning
Abstract Quality of Service (QoS) is one of the key indicators to measure the overall
performance of cloud services. The quantitative measurement of the QoS enables the …
performance of cloud services. The quantitative measurement of the QoS enables the …
Multiuser context‐aware computation offloading in mobile edge computing based on Bayesian learning automata
F Farahbakhsh, A Shahidinejad… - Transactions on …, 2021 - Wiley Online Library
Today a lot of data sensed from the environment by the Internet of things applications. These
data need to process with the lowest delay. Mobile devices (MDs) as ubiquitous tools are …
data need to process with the lowest delay. Mobile devices (MDs) as ubiquitous tools are …
Two-stream graph convolutional network-incorporated latent feature analysis
F Bi, T He, Y Xie, X Luo - IEEE Transactions on Services …, 2023 - ieeexplore.ieee.org
Historical Quality-of-Service (QoS) data describing existing user-service invocations are vital
to understanding user behaviors and cloud service conditions. Collaborative Filtering (CF) …
to understanding user behaviors and cloud service conditions. Collaborative Filtering (CF) …
Context-aware multi-user offloading in mobile edge computing: a federated learning-based approach
A Shahidinejad, F Farahbakhsh… - Journal of Grid …, 2021 - Springer
Mobile edge computing (MEC) provides an effective solution to help the Internet of Things
(IoT) devices with delay-sensitive and computation-intensive tasks by offering computing …
(IoT) devices with delay-sensitive and computation-intensive tasks by offering computing …
Adaptively-accelerated Parallel Stochastic Gradient Descent for High-Dimensional and Incomplete Data Representation Learning
High-dimensional and incomplete (HDI) interactions among numerous nodes are commonly
encountered in a Big Data-related application, like user-item interactions in a recommender …
encountered in a Big Data-related application, like user-item interactions in a recommender …
A novel deep-learning-based QoS prediction model for service recommendation utilizing multi-stage multi-scale feature fusion with individual evaluations
With the rapid development of service computing, the demand for service recommendation
is increasing. Quality of Service (QoS) prediction has been one of the key challenges for …
is increasing. Quality of Service (QoS) prediction has been one of the key challenges for …
Mobility and dependence-aware QoS monitoring in mobile edge computing
Mobile edge computing is a new computing paradigm that performs computing on the edge
of a network. It provides services to users by deploying edge servers near mobile devices …
of a network. It provides services to users by deploying edge servers near mobile devices …
QoS prediction for web services in cloud environments based on swarm intelligence search
In the real-world cloud computing scenarios, a user usually invokes few Web services and
can provide only a small proportion of QoS (Quality of Service) records. Therefore, for a …
can provide only a small proportion of QoS (Quality of Service) records. Therefore, for a …