Results 161 to 170 of about 4,084 (211)

Delay guaranteed SFC placement with VNF parallelization in multidomain IoT networks. [PDF]

Sci Rep
Liu S, Zhang C, Yang H, Cui G, Li F, Wang X.   +5 more
europepmc   +1 more source

Differential private collaborative Web services QoS prediction

World Wide Web, 2018
Collaborative Web services QoS prediction has proved to be an important tool to estimate accurately personalized QoS experienced by individual users, which is beneficial for a variety of operations in the service ecosystem, such as service selection ...
An Liu, Zhixu Li, Guanfeng Liu
exaly   +2 more sources

QoS Prediction for 5G Connected and Automated Driving [PDF]

IEEE Communications Magazine, 2021
7 pages, 5 figures, accepted for publication in the IEEE Communications ...
Apostolos Kousaridas, Andreas Pfadler
exaly   +3 more sources

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Predicting unknown QoS value with QoS-Prophet

Proceedings Demo & Poster Track of ACM/IFIP/USENIX International Middleware Conference, 2013
We have witnessed the widespread adoption of Collaborative Filtering (CF) in prediction of unknown QoS value. Existing approaches have neglected that CF idea was originated from the processing of subjective data, movies scores for example. However, QoS value is objective, therefore the existing CF-based prediction approaches are not applicable well for
You Ma, Shangguang Wang, Qibo Sun, Hua Zou 0001, Fangchun Yang   +4 more
openaire   +1 more source

Autoencoders for QoS Prediction at the Edge

2019 IEEE International Conference on Pervasive Computing and Communications (PerCom, 2019
In service-oriented architectures, collaborative filtering is a key technique for service recommendation based on QoS prediction. Matrix factorisation has emerged as one of the main approaches for collaborative filtering as it can handle sparse matrices and produces good prediction accuracy. However, this process is resource-intensive and training must
Gary White, Andrei Palade, Christian Cabrera 0001, Siobhán Clarke   +3 more
openaire   +1 more source

The control oriented QoS: analysis and prediction

Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164), 2002
Now a number of advanced control systems take advantage of networks such as Ethernet, Fieldbus and Internet as their communication channel. Transmission time delay of these networks may lead unstable problems to system. In this paper, the prediction of network delay using neural network is presented first.
Xi, N., Wang, Q. P., Tan, D. L., Wang, Y. C.   +3 more
openaire   +2 more sources

A Survey on Web Service QoS Prediction Methods

IEEE Transactions on Services Computing, 2022
Nowadays, there are many Web services with similar functionality on the Internet. Users consider Quality of Service (QoS) of the services to select the best service from among them. The prediction of QoS values of the Web services and recommendations of the best service based on these values to the users is one of the major challenges in the web ...
Seyyed Hamid Ghafouri, Seyyed Mohsen Hashemi, Patrick C. K. Hung   +2 more
openaire   +1 more source

QoS-Predictions Service

2010
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, Konstantas, Dimitri, Bults, Richard, Van Beijnum, Bert-Jan, Hilario, Mélanie   +4 more
openaire   +2 more sources

QoS Ranking Prediction for Cloud Services

IEEE Transactions on Parallel and Distributed Systems, 2013
Cloud computing is becoming popular. Building high-quality cloud applications is a critical research problem. QoS rankings provide valuable information for making optimal cloud service selection from a set of functionally equivalent service candidates. To obtain QoS values, real-world invocations on the service candidates are usually required. To avoid
Zibin Zheng, Yilei Zhang, Michael R Lyu   +2 more
exaly   +2 more sources

User-QoS-Based Web Service Clustering for QoS Prediction

2015 IEEE International Conference on Web Services, 2015
QoS prediction has become an important step in service recommending and selecting. Most QoS prediction approaches are using collaborative filtering as a prediction technique. But collaborative filtering may suffer from data sparsity problem which degrade the prediction accuracy. In order to alleviate the data sparsity problem of collaborative filtering,
Fuxin Chen, Shijin Yuan, Bin Mu
openaire   +1 more source