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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   +4 more
openaire   +1 more source

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
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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   +4 more
openaire   +3 more sources

Web service QoS prediction strategies

2016 International Conference on Research Advances in Integrated Navigation Systems (RAINS), 2016
As the use of web services are increasing rapidly, it is very essential to ensure the quality of the invoked service. From Quality of Service (QoS) factors, reliability is the most predominant factor. QoS can be referred as matching network resources to application demands which in turn helps to keep the service reliable.
W Preethi, M. R. Binu Rajan
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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.   +3 more
openaire   +2 more sources

Online QoS Prediction

2017
The exponential growth of Web service makes building high-quality service-oriented systems an urgent and crucial research problem. Performance of the service-oriented systems highly depends on the remote Web services as well as the unpredictability of the Internet.
Yilei Zhang, Michael R. Lyu
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A web service QoS prediction approach based on multi-dimension QoS

2011 6th International Conference on Computer Science & Education (ICCSE), 2011
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 approach based on multi-dimension QoS.
Lu Li, Mei Rong, Guangquan Zhang
openaire   +1 more source

QoS Prediction Based on Context-QoS Association Mining

2017
Both the functional properties and the non-functional properties (known as quality of service, QoS) should be considered when recommending services. In mobile environment, the services are referred to under different contexts. Context-aware collaborative filtering is often employed to predict the QoS of candidate services when a user submits a service ...
Yang Hu, Qibo Sun, Jinglin Li
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Network Performance QoS Prediction

2014
This paper deals with QoS prediction of triple play services in IP networks. Based on our proposed model, speech or video quality can be calculated with regard to policies applied for packet processing by routers and to the level of total network utilization.
Jaroslav Frnda   +2 more
openaire   +1 more source

Predicting QoS Characteristics on Wireless Networks

International Conference on Networking and Services (ICNS '07), 2007
Nowadays, wireless network traffic exhibits peculiar and unpredictable behaviors that can be attributed to the combination of different factors: the varying number of users, the capacity of the network access points, network traffic matrices, users' mobility, background traffic, diversity of applications, services and user behaviors.
Paulo Salvador   +2 more
openaire   +1 more source

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