Results 171 to 180 of about 1,618,886 (202)

Joint Modeling of MANET Characteristics for QoS Prediction

2007 IEEE Symposium on Computers and Communications, 2007
Mobile Ad-hoc Networks (MANETs) are particularly difficult to manage due to the highly dynamic nature of its traffic, caused by variations on the number of users, their locations and the type of applications they use. This paper proposes a new modeling framework for mobile ad-hoc networks that integrates all important functional characteristics of a ...
António Nogueira, Paulo Salvador 0001, Rui Valadas   +2 more
openaire   +1 more source

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
openaire   +1 more source

Mobility and QoS Prediction for Dynamic Coverage Optimization

NOMS 2020 - 2020 IEEE/IFIP Network Operations and Management Symposium, 2020
This demonstrator shows, how Machine Learning (ML) based predictions can be used for closed-loop optimization in operational network management. It is based on data collected from an actual testbed deployed at the Hamburg Smart Seaport and uses a digital twin of the testbed to demonstrate how Coverage and Capacity Optimization (CCO) and Beam Adaptation
Janne Ali-Tolppa, Márton Kajó
openaire   +1 more source

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
openaire   +1 more source

Markovian Workload Characterization for QoS Prediction in the Cloud

2011 IEEE 4th International Conference on Cloud Computing, 2011
Resource allocation in the cloud is usually driven by performance predictions, such as estimates of the future incoming load to the servers or of the quality-of-service(QoS) offered by applications to end users. In this context, characterizing web workload fluctuations in an accurate way is fundamental to understand how to provision cloud resources ...
Sergio Pacheco-Sanchez, Giuliano Casale, Bryan W. Scotney, Sally I. McClean, Gerard P. Parr, Stephen Dawson   +5 more
openaire   +3 more sources

An Enhanced QoS Prediction Approach for Service Selection

2011 IEEE International Conference on Services Computing, 2011
In this paper, we propose an enhanced QoS prediction approach to predict the missing QoS values for QoS-based selection. Compared with existing QoS prediction methods, our proposed A Smooth approach has two differences: 1) using A-cosine equation for similarity calculation to remove the impact of different QoS scale, 2) adding a data Smoothing process ...
Liang Chen 0001, Yipeng Feng, Jian Wu 0001, Zibin Zheng   +3 more
openaire   +1 more source

Skyline Service Selection Based on QoS Prediction

2016 IEEE International Conference on Cluster Computing (CLUSTER), 2016
In this paper, we propose a Skyline service selection approach based on QoS prediction. We first consider the QoS history records as time series and predict the QoS values by using Autoregressive Integrated Moving Average (ARIMA) model to provide more accurate QoS attributes values.
Yan Guo 0004, Shangguang Wang
openaire   +2 more sources

An Algorithm to Predict the QoS-Reliability of Service Compositions

2010 6th World Congress on Services, 2010
The idea of the future Internet of Services is to combine several services of numerous service providers to new value-added services or applications. To sell these services on so-called service marketplaces the providers have to ensure both a high quality and a high quality reliability.
openaire   +1 more source

QoS Prediction for Reliable Service Composition in IoT

2018
An Internet of Things (IoT) environment should respond to users’ requirements by providing access to a number of component services, which can be used to create applications. To meet quality of service (QoS) requirements, these applications must be able to automatically adapt to changes in the QoS of their component services.
Gary White, Andrei Palade, Siobhán Clarke   +2 more
openaire   +1 more source

QoS Prediction for Composite Web Services with Transactions

2007
Prediction of the Quality of Service (QoS) of Composite Web Services (CWS) makes it possible to tell whether the CWS meets the nonfunction requirements, and to choose the CWS with better QoS from those with similar function. QoS prediction is based on the estimation of the execution process of CWS.
Jiangxia Wu, Fangchun Yang
openaire   +2 more sources