A Component Platform for Experimenting with Autonomic Composition

Baude, Françoise; Henrio, Ludovic; Naoumenko, Paul

doi:10.4108/icst.autonomics2007.2200

Cited by 3 publications

(3 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Indeed, allowing the GCM implementation to reach the expressiveness of the distribution policies described in Sections 4.2.3 and 4.3.4, and thus allowing real program to express simply complex distributions, is still a real challenge. Finally, we also showed the adequacy of the GCM to express autonomic adaptations [2,6]. Thus, we estimate that the GCM greatly improves expressiveness, scalability and adaptivity of grid applications, even if the model and its implementation are still to be improved.…”

Section: Discussionmentioning

confidence: 95%

GCM: a grid extension to Fractal for autonomous distributed components

et al. 2008

Self Cite

View full text Add to dashboard Cite

This article presents an extension of the Fractal component model targeted at programming applications to be run on computing grids: the Grid Component Model (GCM). First, to address the problem of deployment of components on the Grid, deployment strategies have been de ned. Then, as Grid applications often result from the composition of a lot of parallel (sometimes identical) components, composition mechanisms to support collective communications on a set of components are introduced. Finally, because of the constantly evolving environment and requirements for Grid applications, the GCM de nes a set of features intended to support component autonomicity. All these aspects are developed in this paper with the challenging objective to ease the programming of Grid applications, while allowing GCM components to also be the unit of deployment and management

show abstract

Section: Discussionmentioning

confidence: 95%

GCM: a grid extension to Fractal for autonomous distributed components

et al. 2008

Self Cite

View full text Add to dashboard Cite

show abstract

“…Autonomic capabilities have often be associated to component models [5]. Among them, the ParaPhrase project [15] is probably the closest to ours.…”

Section: Related Workmentioning

confidence: 99%

Self-Configuration and Self-Optimization Autonomic Skeletons using Events

Pabón¹,

Henrio

2014

Proceedings of Programming Models and Applications on Multicores and Manycores

View full text Add to dashboard Cite

This paper presents a novel way to introduce self-configuration and self-optimization autonomic characteristics to algorithmic skeletons using event driven programming techniques. Based on an algorithmic skeleton language, we show that the use of events greatly improves the estimation of the remaining computation time for skeleton execution. Events allow us to precisely monitor the status of the execution of algorithmic skeletons. Using such events, we provide a framework for the execution of skeletons with a very high level of adaptability. We focus mainly on guaranteeing a given execution time for a skeleton, by optimizing autonomically the number of threads allocated. The proposed solution is independent from the platform chosen for executing the skeleton for example we illustrate our approach in a multicore setting, but it could also be adapted to a distributed execution environment.

show abstract

“…Baude, Henrio, and Naoumenko [3] extend the Grid Component Model (GCM) by enabling the composition and dynamic reconfiguration of self-management entities (called controllers) and present an aspect-oriented approach for decoupling autonomic from application concerns. Although a similar mechanism was used when representing self-management behaviour as a component configuration, achieving adaptation by replacing a single Autonomic Manager component constitutes a coarse-grained solution that compromises reusability and cost-effectiveness.…”

Section: Related Workmentioning

confidence: 99%

A non-intrusive component-based approach for deploying unanticipated self-management behaviour

Andrade

Macêdo

2009

2009 ICSE Workshop on Software Engineering for Adaptive and Self-Managing Systems

View full text Add to dashboard Cite

Supporting self-management behaviour by means of component-based architectural solutions has been the focus of many current research projects. In such a context, handling unanticipated changes with no impacts in applicationspecific software artefacts is a challenging problem. In this paper, we present a component-based solution for the specification and execution of self-management behaviour that decouples application-specific from autonomic-specific software artefacts (non-intrusive approach) and supports unanticipated changes in distributed heterogeneous environments. We describe the designed components for environment monitoring, adaptation policies specification, and changes redeployment and present a reference implementation built on top of CIAO middleware -a Lightweight CORBA Component Model implementation that supports dynamic reconfiguration of components and connectors. We also present two evaluation experiments, which provide selfoptimization and self-healing behaviour in a distributed industrial supervision and control system.

show abstract

A Component Platform for Experimenting with Autonomic Composition

Cited by 3 publications

References 27 publications

GCM: a grid extension to Fractal for autonomous distributed components

GCM: a grid extension to Fractal for autonomous distributed components

Self-Configuration and Self-Optimization Autonomic Skeletons using Events

A non-intrusive component-based approach for deploying unanticipated self-management behaviour

Contact Info

Product

Resources

About