CBay : enchères pour le redéploiement de composants sur línternet des machines

Charbel El Kaed 1, 2 François-Gaël Ottogali 3 Yves Denneulin 4, 1
1 MESCAL - Middleware efficiently scalable
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble
2 Laboratoire d'Informatique de Grenoble
LIG - Laboratoire d'Informatique de Grenoble
Abstract : Internet of machines also known as Machine-To-Machine is a system composed of thousands of interconnected machines that inter operate to run an application that meets a specific need. Such an application can be implemented by the encapsulation and the cooperation of several software entities called component. These components will be distributed on nodes with different resources in terms of memory, capacity of calculation, bandwidth, battery dependent, etc. The placement of these components on the nodes is a crucial step for both the application and the target machines. The choice of placement actually influences their performance. Such a deployment algorithm has to take into account the functional needs, constraints and properties as well as the available resources and performance of the whole system. Many algorithms have been proposed for this, including one based on a principle of auction, DecAp [13], which allows the dynamic redeployment of components in order to take into account the evolution of the system's resources. We present in this article an extension of this algorithm by adding the management of available resources on each node: memory, bandwidth and computing capacity.
Complete list of metadatas

https://hal.inria.fr/hal-00788931
Contributor : Arnaud Legrand <>
Submitted on : Friday, February 15, 2013 - 1:46:44 PM
Last modification on : Thursday, October 11, 2018 - 8:48:04 AM

Identifiers

Collections

Citation

Charbel El Kaed, François-Gaël Ottogali, Yves Denneulin. CBay : enchères pour le redéploiement de composants sur línternet des machines. Proceedings of UbiMob09, 2009, Lille, France. pp.11-18, ⟨10.1145/1739268.1739271⟩. ⟨hal-00788931⟩

Share

Metrics

Record views

198