New Approach to Partitioning Confidential Resources in Hybrid Clouds

Kaouther Samet, Samir Moalla, Mahdi Khemakhem

2015

Abstract

Today, companies use more cloud environments such as hybrid clouds. Indeed, hybrid clouds give the opportunity to better manage resources mostly when companies have no space to store more resources in their private clouds. The best solution here is to allocate the required space in public cloud at a low cost. But how can resources be partitioned in hybrid clouds while assuring confidentiality of resources moved to public cloud. Many works have been done in this context. They suppose that confidentiality is assured by using encryption methods. But with this solution the cloud provider can access the resources stored on the cloud, which weakens the confidentiality of these. This work proposes an approach to the Confidential Resources Partitioning Problem in Hybrid Clouds (CRPHC) which aims at ensuring the confidentiality of resources by grouping as much as possible the most confidential resources in private cloud and resources with low degrees of confidentiality in public cloud while minimizing the size of resources to host in public cloud and consequently reducing the storage cost. This solution allows the possibility of using non-performing encryption methods which have a reduced treatement cost compared to efficient methods. Experimentally, our solution will be evaluated and compared to optimal solution given by CPLEX.

Paper Citation

in Harvard Style

Samet K., Moalla S. and Khemakhem M. (2015). New Approach to Partitioning Confidential Resources in Hybrid Clouds . In Proceedings of the 5th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-758-104-5, pages 506-513. DOI: 10.5220/0005444505060513

in Bibtex Style

@conference{closer15,
author={Kaouther Samet and Samir Moalla and Mahdi Khemakhem},
title={New Approach to Partitioning Confidential Resources in Hybrid Clouds},
booktitle={Proceedings of the 5th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2015},
pages={506-513},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005444505060513},
isbn={978-989-758-104-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - New Approach to Partitioning Confidential Resources in Hybrid Clouds
SN - 978-989-758-104-5
AU - Samet K.
AU - Moalla S.
AU - Khemakhem M.
PY - 2015
SP - 506
EP - 513
DO - 10.5220/0005444505060513