DocumentCode :
246340
Title :
Architectural Model and Planification Algorithm for the Self-Management of Elastic Cloud Applications
Author :
Letondeur, Loic ; Etchevers, Xavier ; Coupaye, Thierry ; Boyer, Fabienne ; De Palma, Noel
Author_Institution :
Orange Labs., Meylan, France
fYear :
2014
fDate :
8-12 Sept. 2014
Firstpage :
172
Lastpage :
179
Abstract :
This paper introduces a generic approach for managing automatically applications elasticity. The proposed solution addresses a noticeably wider scope of use-cases and does not depend on the underlying execution environment. It consists of: (i) a model and a formalism used for specifying valid applicative architectures (or elasticity scenarios) according to the resources allocated to the application. The originality of this first contribution lies in the association of a component model with a set oriented query language, (ii) a defeasible reasoning-based planning algorithm that computes the target applicative architecture from the model and elasticity requests, (iii) a first qualitative and quantitative evaluation that highlights the relevance and the viability of the proposed approach.
Keywords :
cloud computing; formal specification; nonmonotonic reasoning; planning (artificial intelligence); query languages; resource allocation; architectural model; component model; defeasible reasoning-based planning algorithm; elastic cloud application self-management; planification algorithm; qualitative evaluation; quantitative evaluation; resource allocation; set oriented query language; target applicative architecture; valid applicative architecture specification; Algorithm design and analysis; Analytical models; Computational modeling; Computer architecture; Containers; Elasticity; Servers; Autonomic Computing; Cloud Computing; Defeasible Reasoning; Elastic Applications Model; Elasticity; Elasticity Algorithm; Elasticity Patterns;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud and Autonomic Computing (ICCAC), 2014 International Conference on
Conference_Location :
London
Type :
conf
DOI :
10.1109/ICCAC.2014.29
Filename :
7024058
Link To Document :
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