Abstract: A method (and system) of storing data in a value-based storage system, includes optimizing a value of data stored in the value-based storage system.

Abstract: A system and method for optimizing a storage system to support full utilization of storage space are provided. With the system and method, data objects/containers of data objects are assigned retention values when they are created. These retention values may be dynamically modified based on a modification function associated with the data objects/containers. When storage space needs to be freed for the storage of new data objects/containers, the retention values of existing data objects/containers provide a prioritization as to which data objects/containers should be deleted from the storage system and the order by which these data objects/containers are to be deleted to make available storage space for the new data objects/containers. The identification of the data objects/containers that are to be deleted may be based on a dynamically modified delete threshold, a sorted list of retention values, or the like.

Abstract: A system and method for optimizing a storage system to support short data object lifetimes and highly utilized storage space are provided. With the system and method, data objects are clustered based on when they are anticipated to be deleted. When an application stores data, the application provides an indicator of the expected lifetime of the data, which may be a retention value, a relative priority of the data object, or the like. Data objects having similar expected lifetimes are clustered together in common data structures so that clusters of objects may be deleted efficiently in a single operation. Expected lifetimes may be changed by applications automatically. The system automatically determines how to handle these changes in expected lifetime using one or more of copying the data object, reclassifying the container in which the data object is held, and ignoring the change in expected lifetime for a time to investigate further changes in expected lifetime of other data objects.