Author ORCID Identifier
https://orcid.org/0000-0001-9503-9730 : Ziad Kobti
https://orcid.org/0009-0000-9526-9245 : Reem Al-Saidi
CLOUD COMPUTING 2023 : The Fourteenth International Conference on Cloud Computing, GRIDs, and Virtualization
multi-cloud, federated cloud, cross-federated cloud, hybrid federated cloud, inter-cloud, cloud interoperability, privacy, trust
When major Cloud Service Providers (CSPs) network with other CSPs, they show a predominant area over cloud computing architecture, each with different roles to serve user demands better. This creates multiple clouds computing environments, which overcome the limitations of cloud computing and bring a wide range of benefits (e.g., avoiding vendor lock-in problem). Numerous applications can use various multiple clouds types depending on their specifications and needs. Deploying multiple clouds under hybrid or public models has introduced various privacy concerns that affect users and their data in a specific application domain. To understand the nuances of these concerns, the present study conducted a survey to identify the various classifications of multiple clouds types and then extend the cloud entities’ relationships to behave in different multiple clouds settings. The survey results outline users’ privacy and data confidentiality concerns in multiple clouds types under public and hybrid deployment models.
Al-Saidi, Reem and Kobti, Ziad.. (2023). Survey of Multiple Clouds: Classification, Relationships and Privacy Concerns. CLOUD COMPUTING 2023 : The Fourteenth International Conference on Cloud Computing, GRIDs, and Virtualization, 47-56.