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Authors: Hugo Bruneliere 1 ; Zakarea Al-Shara 2 ; Frederico Alvares 3 ; Jonathan Lejeune 4 and Thomas Ledoux 5

Affiliations: 1 NaoMod Team (LS2N-CNRS) and IMT Atlantique, France ; 2 Berger-Levrault, France ; 3 EasyVirt, France ; 4 REGAL Team (Inria & LIP6-CNRS) and Sorbonne Universities - UPMC, France ; 5 STACK Team (Inria & LS2N-CNRS) and IMT Atlantique, France

Keyword(s): Cloud Computing, Autonomic Computing, Modeling, Heterogeneity, Interoperability, Constraints.

Related Ontology Subjects/Areas/Topics: Cloud Computing ; Cloud Computing Enabling Technology ; Xaas

Abstract: Over the last few years, Autonomic Computing has been a key enabler for Cloud system's dynamic adaptation. However, autonomously managing complex systems (such as in the Cloud context) is not trivial and may quickly become fastidious and error-prone. We advocate that Cloud artifacts, regardless of the layer carrying them, share many common characteristics. Thus, this makes it possible to specify, (re)configure and monitor them in an homogeneous way. To this end, we propose a generic model-based architecture for allowing the autonomic management of any Cloud system. From a "XaaS'' model describing a given Cloud system, possibly over multiple layers of the Cloud stack, Cloud administrators can derive an autonomic manager for this system. This paper introduces the designed model-based architecture, and notably its core generic XaaS modeling language. It also describes the integration with a constraint solver to be used by the autonomic manager, as well as the interoperability with a Clo ud standard (TOSCA). It presents an implementation (with its application on a multi-layer Cloud system) and compares the proposed approach with other existing solutions. (More)

CC BY-NC-ND 4.0

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Paper citation in several formats:
Bruneliere, H.; Al-Shara, Z.; Alvares, F.; Lejeune, J. and Ledoux, T. (2018). A Model-based Architecture for Autonomic and Heterogeneous Cloud Systems. In Proceedings of the 8th International Conference on Cloud Computing and Services Science - CLOSER; ISBN 978-989-758-295-0; ISSN 2184-5042, SciTePress, pages 201-212. DOI: 10.5220/0006773002010212

@conference{closer18,
author={Hugo Bruneliere. and Zakarea Al{-}Shara. and Frederico Alvares. and Jonathan Lejeune. and Thomas Ledoux.},
title={A Model-based Architecture for Autonomic and Heterogeneous Cloud Systems},
booktitle={Proceedings of the 8th International Conference on Cloud Computing and Services Science - CLOSER},
year={2018},
pages={201-212},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006773002010212},
isbn={978-989-758-295-0},
issn={2184-5042},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Cloud Computing and Services Science - CLOSER
TI - A Model-based Architecture for Autonomic and Heterogeneous Cloud Systems
SN - 978-989-758-295-0
IS - 2184-5042
AU - Bruneliere, H.
AU - Al-Shara, Z.
AU - Alvares, F.
AU - Lejeune, J.
AU - Ledoux, T.
PY - 2018
SP - 201
EP - 212
DO - 10.5220/0006773002010212
PB - SciTePress