Squirrel: Architecture Driven Resource Management - Archive ouverte HAL Access content directly
Conference Papers Year :

Squirrel: Architecture Driven Resource Management

(1) , (1) , (2) , (1) , (3)
1
2
3

Abstract

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.
Fichier principal
Vignette du fichier
typeinst.pdf (416.13 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01355000 , version 1 (22-08-2016)

Identifiers

Cite

Inti Gonzalez-Herrera, Johann Bourcier, Walter Rudametkin, Olivier Barais, Francois Fouquet. Squirrel: Architecture Driven Resource Management. SAC - 31st Annual ACM Symposium on Applied Computing, Apr 2016, Pisa, Italy. ⟨10.1145/0000000.0000000⟩. ⟨hal-01355000⟩
767 View
135 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More