The IP.com Prior Art Database
English (United States)
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Method for enabling dynamic and transparent configuration of data management in a multi-
cloud multi - -tenancy storage service
tenancy storage service
Enterprises using an archiving storage service typically organize their data in multiple collections having different defined policies and facilities for their data management, based on criteria such as information type, value to the organization, and storage cost.
As the needs of the organization evolve over time, the data management profile of a collection should be dynamically configurable. For example, the administrator may set policies for replication and for integrity checking according to regulatory requirements,
which are likely to change over time. The storage service may continuously monitor performance aspects such as storage costs, space usage and platform availability, and decide to change storage location or synchronize among replicas Also, as cloud technology advances and improved cloud services by new providers become available, it should be possible to migrate data to another cloud platform.
Ideally, details of the data management configuration should be completely transparent to the users of the storage service. Particularly, users should be able to access the data without knowing the identity of the storage cloud providers. Moreover, users should not have to adapt continuously to changes in configuration.
Data stored in the cloud is commonly accessed using a hierarchical naming path. The data model typically consists of containers and objects, but may vary significantly among platforms. This data model is adequate for a simple data storage platform,
where the user works with resources in a specific storage cloud, but it does not address
the requirements of a multi-cloud/multi-tenancy storage service.
This invention presents a data model and uniform hierarchical resource naming path for objects in a storage system. Details of data management configuration are hidden from the user, yet integrated into the model. The model is logical, in the sense that it lends itself to different realizations, depending on the capabilities of the storage platforms being used.
The top-down hierarchy consists of: tenants, aggregations, dockets, and objects. This is illustrated in the figure below.
Tenant is an enterprise or organization that engages in storing data in the cloud. Each tenant constitutes an independent information domain, having separate admi...