Results 161 to 170 of about 28,240 (208)

Neighborhood-Based QoS Prediction

2017
With the increasing popularity of cloud computing as a solution for building high-quality applications on distributed components, efficiently evaluating user-side quality of cloud components becomes an urgent and crucial research problem. However, invoking all the available cloud components from user-side for evaluation purpose is expensive and ...
Yilei Zhang, Michael R. Lyu
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IoTPredict: Collaborative QoS Prediction in IoT

2018 IEEE International Conference on Pervasive Computing and Communications (PerCom), 2018
Internet of Things (IoT) applications can be built from a number of heterogeneous services provided by a range of devices, which are potentially resource constrained and/or mobile. As these services and applications continue to be more widespread, a key research question is how to predict user-side quality of service (QoS), to ensure the optimal ...
Gary White, Andrei Palade, Christian Cabrera, Siobhan Clarke   +3 more
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Mobility Prediction for QoS Provisioning

2003
In recent years, there has been a rapid increase in cellular network deployment and mobile device market penetration. With vigorous research that promises higher data rates, future wireless networks will likely become an integral part of the global communication infrastructure.
Hyong S. Kim, Wee-Seng Soh
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User-based AutoenCoder for QoS prediction

2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS), 2016
With the rapidly growing in number of service providers and service users, as a result, there are three important issues that we now have to deal: Firstly, we face challenges with increasing large data sets. Secondly, many Web service providers have similar functionality but differ in quality properties and services.
null Le Van Thinh, null Nguyen Xuan Hau, null Truong Dinh Tu   +2 more
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Temporal Pattern Based QoS Prediction

2016
Quality-of-Service QoS is critical for selecting the optimal Web service from a set of functionally equivalent service candidates. Since QoS performance of Web services are unfixed and highly related to the service status and network environments which are variable against time, it is critical to obtain the missing QoS values of candidate services at ...
Liang Chen, Haochao Ying, Qibo Qiu, Jian Wu, Hai Dong, Athman Bouguettaya   +5 more
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ATM QoS prediction using neural-networks

ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on Neural Information Processing. Proceedings (Cat. No.99EX378), 2003
Future broadband integrated services digital networks (B-ISDN) will be based on asynchronous transfer mode (ATM) technology. ATM traffic management and congestion control is needed to guarantee the quality of service (QoS) parameters. Artificial neural networks (ANN) have several properties that are valuable when implementing ATM traffic control.
Nazeeruddin, M., Mohandes, M., Cam, H.
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Towards adaptive web services QoS prediction

2010 IEEE International Conference on Service-Oriented Computing and Applications (SOCA), 2010
Quality of Service (QoS) has been widely used to support dynamic Web Service (WS) selection and composition. Due to the volatile nature of QoS parameters, QoS prediction has been put forward to understand the trend of QoS data volatility and estimate QoS values in dynamic environments.
Jing Li, Yongwang Zhao, Jiawen Ren, Dianfu Ma   +3 more
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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, Xinmiao Wu, Yilei Zhang, Michael R. Lyu, Jianmin Wang   +4 more
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Predicting QoS Values via Multi-dimensional QoS Data for Web Service Recommendations

2015 IEEE International Conference on Web Services, 2015
Fast deployment of mobile Internet makes Web services often consumed under a multi-dimensional spatiotemporal model, wherein a specific service client could keep active while its location is changing. Recommending Web services for such clients must be able to predict unknown QoS values with the target client's service requesting time and location taken
You Ma, Shangguang Wang, Fangchun Yang, Rong N. Chang   +3 more
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Web Service QoS Prediction with Adaptive Calibration

2015 International Conference on Computer Science and Applications (CSA), 2015
Web services QoS (Quality of Service) prediction in dynamic environment is a critical method to support service selection and service composition. The existing QoS prediction methods focus on the user-side QoS but not the server-side. However, the prediction accuracy of QoS prediction methods for user-side QoS are restricted by the subjectivity of user'
Guo-Sheng Li, Na Wang
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