Titre :

Towards Sustainable Software Infrastructures for Data-Intensive Systems

Auteur(s) :

Fieni, Guillaume [Auteur]
Self-adaptation for distributed services and large software systems [SPIRALS]
Rouvoy, Romain [Auteur]
Self-adaptation for distributed services and large software systems [SPIRALS]
Institut universitaire de France [IUF]
Seinturier, Lionel [Auteur]
Self-adaptation for distributed services and large software systems [SPIRALS]

Titre de la manifestation scientifique :

EuroDW 2018 - 12th EuroSys Doctoral Workshop

Ville :

Porto

Pays :

Portugal

Date de début de la manifestation scientifique :

2018-04-23

Mot(s)-clé(s) en anglais :

Energy efficiency
Security & Privacy
Distributed systems
Cloud computing

Discipline(s) HAL :

Informatique [cs]/Génie logiciel [cs.SE]
Informatique [cs]/Calcul parallèle, distribué et partagé [cs.DC]
Informatique [cs]/Cryptographie et sécurité [cs.CR]

Résumé en anglais : [en]

Distributed environments are heavily used by nowadays data-intensive software systems to process continuous flows of data produced by a large number of devices (smartphones, IoT, cameras, etc.). While growing complexity, ...
Lire la suite >Distributed environments are heavily used by nowadays data-intensive software systems to process continuous flows of data produced by a large number of devices (smartphones, IoT, cameras, etc.). While growing complexity, these distributed systems are required to mitigate two key concerns: security and energy. On the one hand, when offloading data processing to the cloud, the application may require security guarantees from the cloud providers in order to avoid privacy and security leaks. On the other hand, the cloud provider aims at continuously improving the energy efficiency of the cloud infrastructure by optimizing the resource usage. This PhD thesis therefore explores the security/energy trade-offs and optimizations that can be considered when deploying data-intensive software systems in distributed environments. In particular, this PhD thesis aims at exploiting all the possible levers that maximize the security of a data-intensive system while minimizing its power consumption.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL