摘要:
A system and method of managing data with high granularity, comprises identifying data objects and an associated data management policy. The policy uses features and a common semantic to define a feature-based sequence of data management actions of a data management operation that varies for different objects depending on respective features. Features of the data objects are obtained and then used to associate a data management action with the object using the policy so that the object is managed individually according to its own features, thus achieving high granularity of data management precision and also high flexibility.
摘要:
Systems, methods, and related technologies for application-centric object storage are described. In certain aspects, a processing device can receive, from an application, one or more requests with respect to a data object, process the requests to determine one or more data utilization characteristics of the application with respect to the data object, and configure one or more aspects of the data object in view of the one or more data utilization characteristics. In other aspects, a processing device can process a first data object in a first format to generate a virtual data object that corresponds to a representation of the first data object in a second format, receive a request with respect to the first data object from an application that is configured with respect to the second format, and complete the request with respect to the first data object and the application via the virtual data object.
摘要:
A method or system of managing data with high granularity, comprises identifying data objects and an associated data management policy. The policy uses features and a common semantic to define a feature-based sequence of data management actions of a data management operation that varies for different objects depending on respective features. Features of the data objects are obtained and then used to associate a data management action with the object using the policy so that the object is managed individually according to its own features, thus achieving high granularity of data management precision and also high flexibility.