Variability Modelling for Elastic Scaling in Cloud Computing

Mohamed Lamine Berkane, Lionel Seinturier, Mahmoud Boufaida

2018

Abstract

Elasticity is an increasingly important characteristic for cloud computing environments, in particular for those that are deployed in dynamically changing environments. The purpose is to let the systems react and adapt the workload on its current and additional (in an autonomic manner) hardware and software resources. In this paper, we propose an approach that allows the combination of variability and reusability for modelling elasticity. The used approach is based on self-adaptive systems and feature modelling into a single solution. We show the feasibility of the proposed model through Znn.com scenario.

Paper Citation

in Harvard Style

Lamine Berkane M., Seinturier L. and Boufaida M. (2018). Variability Modelling for Elastic Scaling in Cloud Computing.In Proceedings of the 13th International Conference on Software Technologies - Volume 1: ICSOFT, ISBN 978-989-758-320-9, pages 717-724. DOI: 10.5220/0006831607170724

in Bibtex Style

@conference{icsoft18,
author={Mohamed Lamine Berkane and Lionel Seinturier and Mahmoud Boufaida},
title={Variability Modelling for Elastic Scaling in Cloud Computing},
booktitle={Proceedings of the 13th International Conference on Software Technologies - Volume 1: ICSOFT,},
year={2018},
pages={717-724},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006831607170724},
isbn={978-989-758-320-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Software Technologies - Volume 1: ICSOFT,
TI - Variability Modelling for Elastic Scaling in Cloud Computing
SN - 978-989-758-320-9
AU - Lamine Berkane M.
AU - Seinturier L.
AU - Boufaida M.
PY - 2018
SP - 717
EP - 724
DO - 10.5220/0006831607170724