Abstract: A method for reducing data size of digital images is provided. The method includes receiving a Joint Photographic Experts Group (JPEG) encoded image, and performing an entropy decode on the image. The method also includes generating a fingerprint for each JPEG coefficient block, and processing the fingerprints to determine the identity of any duplicate or similar JPEG coefficient blocks. The method further includes generating metadata identifying the duplicate or similar JPEG coefficient blocks, and compressing non-duplicate and/or non-similar JPEG coefficient blocks. The method also includes transferring the metadata and the non-duplicate and/or non-similar JPEG coefficient blocks to a remote system.

Abstract: A method for reducing data size of digital images is provided. The method includes receiving a Joint Photographic Experts Group (JPEG) encoded image, and performing an entropy decode on the image. The method also includes generating a fingerprint for each JPEG coefficient block, and processing the fingerprints to determine the identity of any duplicate or similar JPEG coefficient blocks. The method further includes generating metadata identifying the duplicate or similar JPEG coefficient blocks, and compressing non-duplicate and/or non-similar JPEG coefficient blocks. The method also includes transferring the metadata and the non-duplicate and/or non-similar JPEG coefficient blocks to a remote system.

Abstract: Techniques for power analysis for data centers are disclosed. In one particular exemplary embodiment, the techniques may be realized as a method for power analysis for a plurality of computing platform components comprising receiving information associated with a component, retrieving, using a computer processor, electronically stored data associated with the component, estimating power usage of the component based at least in part on the stored data, and outputting an indicator of power usage.

Abstract: A method, apparatus, and system for accessing units of storage that depends at least in part on an address of the unit of storage and the time that data was written to the unit of storage. A virtual data store can be created that reflects the state of an original data store at a specified time, where the specified time is selected, for example, from a substantially continuous time interval.

Abstract: Techniques for power analysis for data centers are disclosed. In one particular exemplary embodiment, the techniques may be realized as a method for power analysis for a plurality of computing platform components comprising receiving information associated with a component, retrieving, using a computer processor, electronically stored data associated with the component, estimating power usage of the component based at least in part on the stored data, and outputting an indicator of power usage.

Abstract: A method for identifying a time at which first data was written to a data store. A data store is configured to respond to data requests made to the data store with the data in the data store at a first time in the past. The method can be used to identify a time, for example, at which a data store was corrupted.

Abstract: A method, apparatus, and system for accessing units of storage that depends at least in part on an address of the unit of storage and the time that data was written to the unit of storage.

Abstract: A method, apparatus, and system for accessing units of storage that depends at least in part on an address of the unit of storage and the time that data was written to the unit of storage.

Abstract: A storage management device includes a plurality of I/O processing modules for accessing units of storage by specifying an address and a time. The I/O processing modules receive I/O requests, classify I/O requests, and extract I/O control information associated with the I/O requests. The extracted I/O control information is processed and at least one physical store is communicated with in response to the processed I/O control information.