Shared Resource Quality Monitoring and Dynamic Trust Management in a Community Cloud ()
ABSTRACT
The collaboration tools offered by Cloud Computing have increased the
need to share data and services within companies or between autonomous
organizations. This has led to the deployment of community cloud
infrastructures. However, several challenges will arise from this grouping of
heterogeneous organizations. One of the main challenges is the management of
trust between the actors of the community. Trust issues arise from the
uncertainty about the quality of the resources and entities involved. The
quality of a resource can be examined from a security or functional
perspective. Therefore, ensuring security and monitoring the quality of
resources is to ensure a high level of trust. Therefore, we propose in this
paper a technique for dynamic trust management and quality monitoring of
resources shared between organizations. Our approach consists, on the one hand,
in evaluating the quality of resources based on quality of service measurement
attributes and, on the other hand, in updating the trust values according to
the information deduced from these measurements. The proposed framework is
evaluated in terms of resource sharing success rate and execution time.
Experimental results and comparison with TNA-SL and InterTrust models show that
the framework can identify and track the behavior of malicious organizations
with relatively low execution time.
Share and Cite:
N’goran, R. , Vallee, L. , Johnson, G. , Tetchueng, J. , Kermarrec, Y. and Asseu, O. (2022) Shared Resource Quality Monitoring and Dynamic Trust Management in a Community Cloud.
Open Journal of Applied Sciences,
12, 1898-1914. doi:
10.4236/ojapps.2022.1211131.
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