A
Andreas May
Publications - 18
Citations - 2553
Andreas May is an academic researcher. The author has contributed to research in topics: Computer data storage & Data management. The author has an hindex of 13, co-authored 18 publications receiving 2553 citations.
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Patent
Logical view and access to data managed by a modular data and storage management system
TL;DR: A data retrieval system that includes a computer system having a processor that supports operation of at least one software application that is used for retrieving data in the computer system is defined in this paper.
Patent
System and method for archiving objects in an information store
TL;DR: In this article, a method for identifying, in a first information store, a first data item satisfying retention criteria; copying the first data items to a second information store; creating a second data item containing a subset of the data of the first dataset selected based on the data type of the original dataset; and replacing the first dat item, in the first information stores, with the second dat item.
Patent
Storage management across multiple time zones
TL;DR: In this paper, a storage management system that manages the storage and retrieval of digital files is presented, which includes a plurality of storage devices that may be located in different time zones and also includes a processor that is configured to maneuver the digital files among the storage devices according to commands that are received from software programs that operate on the processor.
Patent
Hierarchical systems and methods for providing a unified view of storage information
Anand Prahlad,Srinivas Kavuri,Andre Duque Madeira,Norman R. Lunde,Alan G. Bunte,Andreas May,Jeremy A. Schwartz +6 more
TL;DR: In this paper, a hierarchical storage management architecture is presented to facilitate data management, which provides methods for evaluating the state of stored data relative to enterprise needs by using weighted parameters that may be user defined.
Patent
System and method for generating and managing quick recovery volumes
TL;DR: In this paper, the authors describe a method for creating a quick recovery volume (118) of a primary data set that includes creating a snapshot image of the primary dataset generated by a snapshot application, and transferring the data from the first computer to an archival storage unit.