Software Evolution Multi-View : From the ...
Document type :
Autre communication scientifique (congrès sans actes - poster - séminaire...)
Title :
Software Evolution Multi-View : From the Smart Home to the Cloud
Author(s) :
Tahri, Amal [Auteur correspondant]
Self-adaptation for distributed services and large software systems [SPIRALS]
Duchien, Laurence [Auteur]
Self-adaptation for distributed services and large software systems [SPIRALS]
Pulou, Jacques [Auteur]
Orange Labs [Meylan]
Self-adaptation for distributed services and large software systems [SPIRALS]
Duchien, Laurence [Auteur]

Self-adaptation for distributed services and large software systems [SPIRALS]
Pulou, Jacques [Auteur]
Orange Labs [Meylan]
Conference title :
6es Journées Nationales du GDR GPL
City :
Paris
Country :
France
Start date of the conference :
2014-06-11
HAL domain(s) :
Informatique [cs]/Génie logiciel [cs.SE]
English abstract : [en]
The alliance between the Smart Home embedded devices e.g., gateways, tablets, media server, home automation boxes, and the Cloud for the Smart Home Service hosting becomes a proven reality. Taking into account Cloud to ...
Show more >The alliance between the Smart Home embedded devices e.g., gateways, tablets, media server, home automation boxes, and the Cloud for the Smart Home Service hosting becomes a proven reality. Taking into account Cloud to overcome the embedded resources limitation e.g. for reducing the bill of material for a new customer, or to offer service flexibility and scalability is a very appealing goal. In order to take benefit of these opportunities, selecting an optimal deployment of Service applications in this distributed platform is required. We introduce a new approach based on feature modelling which has been originally introduced for SPL for expressing the deployment constraints in spite of the Smart Home wide variability. As a first step we show how to get an optimized first deployment of any given set of Home Services. In a second step we will address the deployment adaptation at runtime in response to environment or software evolution.Show less >
Show more >The alliance between the Smart Home embedded devices e.g., gateways, tablets, media server, home automation boxes, and the Cloud for the Smart Home Service hosting becomes a proven reality. Taking into account Cloud to overcome the embedded resources limitation e.g. for reducing the bill of material for a new customer, or to offer service flexibility and scalability is a very appealing goal. In order to take benefit of these opportunities, selecting an optimal deployment of Service applications in this distributed platform is required. We introduce a new approach based on feature modelling which has been originally introduced for SPL for expressing the deployment constraints in spite of the Smart Home wide variability. As a first step we show how to get an optimized first deployment of any given set of Home Services. In a second step we will address the deployment adaptation at runtime in response to environment or software evolution.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Nationale
Popular science :
Non
Collections :
Source :
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