Squirrel: Architecture Driven Resource Management

Gonzalez-Herrera, Inti; Bourcier, Johann; Rudametkin, Walter; Barais, Olivier; Fouquet, Francois

Type de document :

Communication dans un congrès avec actes

DOI :

10.1145/0000000.0000000

Titre :

Squirrel: Architecture Driven Resource Management

Auteur(s) :

Gonzalez-Herrera, Inti [Auteur]
Diversity-centric Software Engineering [DiverSe]
Bourcier, Johann [Auteur]
Diversity-centric Software Engineering [DiverSe]
Rudametkin, Walter [Auteur]

Self-adaptation for distributed services and large software systems [SPIRALS]
Barais, Olivier [Auteur]
Diversity-centric Software Engineering [DiverSe]
Fouquet, Francois [Auteur]
Security, Reliability and Trust Interdisciplibary Research Centre [S'nT]

Titre de la manifestation scientifique :

SAC - 31st Annual ACM Symposium on Applied Computing

Ville :

Pisa

Pays :

Italie

Date de début de la manifestation scientifique :

2016-04-04

Mot(s)-clé(s) en anglais :

resource management
components
architecture adaptation

Discipline(s) HAL :

Informatique [cs]/Génie logiciel [cs.SE]

Résumé en anglais : [en]

Resource management is critical to guarantee Quality of Service when various stakeholders share the execution environment , such as cloud or mobile environments. In this context, providing management techniques compatible ...
Lire la suite >Resource management is critical to guarantee Quality of Service when various stakeholders share the execution environment , such as cloud or mobile environments. In this context, providing management techniques compatible with standard practices, such as component models, is essential. Resource management is often realized through monitoring or process isolation (using virtual machines or system containers). These techniques (i) impose varying levels of overhead depending on the managed resource, and (ii) are applied at different abstraction levels, such as processes, threads or objects. Thus, mapping components to system-level abstractions in the presence of resource management requirements can lead to sub-optimal systems. We propose Squirrel, an approach to tune component deployment and resource management in order to reduce management overhead. At run-time, Squirrel uses an architectural model annotated with resource requirements to guide the mapping of components to system abstractions, providing different resource management capabilities and overhead. We present an implementation of Squirrel, using a Java component framework, and a set of experiments to validate its feasibility and overhead. We show that choosing the right component-to-system mappings at deployment-time reduces performance penalty and/or volatile main memory use.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Projet ANR :

Vers une machine virtuelle Java pour l'informatique omniprésente

Collections :