Authors:
Kaouther Samet
1
;
Samir Moalla
1
and
Mahdi Khemakhem
2
Affiliations:
1
University Tunis El Manar, Tunisia
;
2
University of Sfax, Tunisia
Keyword(s):
Partitioning Resources, Hybrid Clouds, Confidentiality.
Related
Ontology
Subjects/Areas/Topics:
Cloud Computing
;
Cloud Computing Enabling Technology
;
Distributed Management of Clouds
;
Security, Privacy, and Compliance Management
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 m
inimizing 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.
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