Linked models@runtime to ease the administration of pervasive applications

Abstract : Pervasive applications are often executed in fluctuating conditions and need frequent adaptations to meet requirements. Autonomic computing techniques are frequently used to automate adaptations to changing execution conditions. However, some administration tasks still have to be performed by human administrators. Such tasks are very complex because of a lack of understanding of the system current state. In this paper, we propose to build and link models at runtime of supervised applications in order to ease the administrators' job. Our approach is illustrated on a health application called actimetrics, developed with Orange Labs.
Type de document :
Communication dans un congrès
13th International Workshop on Managing Communications and Services. Part of PerCom 2016, Mar 2016, Sydney, Australia. 2016
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-01289448
Contributeur : Stéphanie Chollet <>
Soumis le : mercredi 16 mars 2016 - 16:57:40
Dernière modification le : jeudi 18 octobre 2018 - 11:22:06

Identifiants

  • HAL Id : hal-01289448, version 1

Collections

Citation

Philippe Lalanda, Stéphanie Chollet, Catherine Hamon. Linked models@runtime to ease the administration of pervasive applications. 13th International Workshop on Managing Communications and Services. Part of PerCom 2016, Mar 2016, Sydney, Australia. 2016. 〈hal-01289448〉

Partager

Métriques

Consultations de la notice

131