No abstract

No abstract

No abstract

Cloud storage and retrieval are considered essential services of cloud computing (CC), which enables the data owner to store the data from the local computing systems to the cloud. Though cloud storage provides several benefits such as minimal cost and short turnaround time, data security is found to be a highly challenging and difficult process. One of the effective solutions to avoid data loss related to security risks is the concurrent usage of multi-cloud. The multi-cloud allows the data owner to easily access their data from remote areas via the web interfaces offered by Amazon EC2. However, even if such multi-cloud environments are susceptible to security attacks, it would bring irreversible challenges to the owners namely integrity, availability, and confidentiality of data. In order to resolve these issues, several privacy preserving data storage and retrieval models are presented in the literature to store data securely and reduce the computational resources. In this view, this study performs a review of existing state of art data storage and retrieval approaches for heterogeneous multi-cloud architectures. The reviewed methods are investigated based on their objectives, underlying techniques, implementation data, and evaluation parameters. Besides, a comparative results analysis of few of the reviewed models takes place. Finally, a discussion along with the possible future direction is given to enable the readers to find the research problem.

No abstract