Cloud Services Selection by Load Balancing between Clouds - A Hybrid MCDM/Markov Chain Approach

Ouassila Hioual, Sofiane Mounine Hemam

Abstract

With the rapid growth of cloud computing, a number of service providers have appeared who offer similar services at various prices and performance levels. So, the increasing number of cloud services has made service selection a challenging decision-making problem. In a multi cloud environment, we need to find a service from multiple clouds by taking into account several requirements (user and system ones). In this paper, we present a cloud service selection model in which we focus on load-balancing across the replicas of services placed at different clouds, this, by taking into account end-user requirements for the service price.

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Paper Citation


in Harvard Style

Hioual O. and Mounine Hemam S. (2016). Cloud Services Selection by Load Balancing between Clouds - A Hybrid MCDM/Markov Chain Approach . In Proceedings of the 12th International Conference on Web Information Systems and Technologies - Volume 1: WIS, (WEBIST 2016) ISBN 978-989-758-186-1, pages 289-295. DOI: 10.5220/0005929802890295


in Bibtex Style

@conference{wis16,
author={Ouassila Hioual and Sofiane Mounine Hemam},
title={Cloud Services Selection by Load Balancing between Clouds - A Hybrid MCDM/Markov Chain Approach},
booktitle={Proceedings of the 12th International Conference on Web Information Systems and Technologies - Volume 1: WIS, (WEBIST 2016)},
year={2016},
pages={289-295},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005929802890295},
isbn={978-989-758-186-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Conference on Web Information Systems and Technologies - Volume 1: WIS, (WEBIST 2016)
TI - Cloud Services Selection by Load Balancing between Clouds - A Hybrid MCDM/Markov Chain Approach
SN - 978-989-758-186-1
AU - Hioual O.
AU - Mounine Hemam S.
PY - 2016
SP - 289
EP - 295
DO - 10.5220/0005929802890295