Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Cloud service providers benefit from a vast majority of customers due to variability and making profit from commonalities beten the cloud services that they provide. Recently, application configuration dimensions has been increased dramatically due to multi-tenant, multi-device and multi-cloud paradigm. This challenges the configuration and customization of cloud-based software that are typically offered as a service due to the intrinsic variability. ,  present a model-driven approach based on variability models originating from the software product line community to handle such multi-dimensional variability in the cloud.  exploit orthogonal variability models to systematically manage and create tenant-specific configuration and customizations.  also demonstrate how such variability models can be utilized to take into account the already deployed application parts to enable harmonized deployments for new tenants in a multi-cloud setting. The approach considers application functional and non-functional requirements to provide a set of valid multi-cloud configurations.  illustrate our approach through a case study.
['Pooyan Jamshidi', 'Claus Pahl']
I am writing a research paper on a idea Orthogonal variability modeling to support multi-cloud application configuration
[{"from": "human", "value": "I am writing a research paper on a idea Orthogonal variability modeling to support multi-cloud application configuration"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Cloud service providers benefit from a vast majority of customers due to variability and making profit from commonalities beten the cloud services that they provide. Recently, application configuration dimensions has been increased dramatically due to multi-tenant, multi-device and multi-cloud paradigm. This challenges the configuration and customization of cloud-based software that are typically offered as a service due to the intrinsic variability. ,  present a model-driven approach based on variability models originating from the software product line community to handle such multi-dimensional variability in the cloud.  exploit orthogonal variability models to systematically manage and create tenant-specific configuration and customizations.  also demonstrate how such variability models can be utilized to take into account the already deployed application parts to enable harmonized deployments for new tenants in a multi-cloud setting. The approach considers application functional and non-functional requirements to provide a set of valid multi-cloud configurations.  illustrate our approach through a case study."}]