DocumentCode
2986835
Title
Towards Self Healing Publish/Subscribe System on MANET
Author
Lahyani, Imene ; Rodriguez, Ismael Bouassida ; Jmaiel, Mohamed ; Chassot, Christophe
Author_Institution
LAAS, Toulouse, France
fYear
2012
fDate
25-27 June 2012
Firstpage
385
Lastpage
390
Abstract
This paper presents a novel approach for Quality of Service aware publish/subscribe systems on Mobile Adhoc Network. Crisis management application seems to be a relevant case study to our approach. On the one hand, our proposed solution monitor the system and analyzes his state towards predicting Quality of Service degradations. Real time prediction is based on the Auto Regressive Integrated Moving Average Formula. On the other hand, our solution defines new reconfiguration actions to be applied once Quality of Service degradation are predicted. In order to evaluate the proposed reparation actions, we define a protocol describing different transformation rules for adaptation using graphs and graph grammar. The Graph Matching and Transformation Engine(GMTE) is used to apply rules to the publish/subscribe system.
Keywords
autoregressive moving average processes; graph grammars; middleware; mobile ad hoc networks; quality of service; MANET; auto regressive integrated moving average formula; crisis management application; graph grammar; graph matching; mobile adhoc network; protocol; quality of service aware publish/subscribe systems; self healing publish/subscribe system; transformation engine; transformation rules; Degradation; Mobile ad hoc networks; Mobile communication; Monitoring; Quality of service; Subscriptions; Topology; Graph grammar; MANET; Quality of service; crisis management applications; publish/subscribe; reconfiguration actions;
fLanguage
English
Publisher
ieee
Conference_Titel
Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), 2012 IEEE 21st International Workshop on
Conference_Location
Toulouse
ISSN
1524-4547
Print_ISBN
978-1-4673-1888-4
Type
conf
DOI
10.1109/WETICE.2012.65
Filename
6269763
Link To Document