Paper Info
Title
Predictive Schemes for QoS Awareness of Publish/Subscribe Systems on MANET
Abstract
In this paper, we propose a failure prediction methodology for quality of service (QoS) degradation prediction for publish/subscribe systems on MANET. Our propose is to use the Auto Regressive Integrated Moving Average (ARIMA) method to predict failure occurrence in the system and to provide optimal QoS provision of applications. Besides, our forecasting algorithm looks for the source behind QoS degradation using the Correlation method. Simulations results are performed to prove the efficiency of the proposed approach. A comparison is done proving that our proposal outperforms the Auto Regression (AR) based prediction approach.
Year
DOI
Venue
2012
10.1109/ISPDC.2012.11
ISPDC
Keywords
Field
DocType
qos degradation,auto regression,predictive schemes,prediction approach,degradation prediction,failure prediction methodology,auto regressive integrated,subscribe systems,failure occurrence,correlation method,optimal qos provision,qos awareness,publish subscribe,predictive models,mathematical model,arima model,mobile computing,prediction algorithms,ar model,middleware,manet,quality of service,message passing,mobile ad hoc network,correlation,mobile ad hoc networks
Mobile computing,Publication,Middleware,Mobile ad hoc network,Data mining,Computer science,Quality of service,Autoregressive integrated moving average,Real-time computing,Moving average,Message passing,Distributed computing
Conference
Citations 
PageRank 
References 
4
0.42
6
Authors
4
Name
Order
Citations
PageRank
Imene Lahyani1237.05
Mouna Gassara241.10
Mohamed Jmaiel3668110.41
Christophe Chassot415327.55