Oracle International Corporation

Hewlett-packard Development Company, L.p.

Hewlett Packard Enterprise Development LP

Mark Evan Mills

Kenny C Gross

Prasanta Ranjan Dash

Sanjeev Raghavendrachar Sondur

Brandon Patrick Byers

Sandya Srivilliputtur Mannarswamy

James Walter Wichelman

Peter M Maddocks

Gary Lee Thunquest

Kishore Kumar M

The embodiments disclosed herein relate to intelligent configuration of a cloud-service gateway based on a pattern recognition algorithm. A machine-learning model is trained to learn the patterns of correlation among many configuration parameters affecting the performance of the system when processing an observed or estimated workload. Training the model may be performed off-line with performance data observed during experiments performed with a variety of configurations and workloads. Once trained, the model may be used to recommend: (a) new configuration parameter values based on constraints of the system being configured, (b) an amount of work that can be performed at a certain performance level when the system is configured with certain parameter values, or (c) the expected performance level when running a certain workload on the system configured with certain configuration parameter values.

Method and apparatus for configuring a cloud storage software appliance

Example implementations relate to a storage system. An example implementation includes a storage system including a controller coupled to a storage medium. The controller is to receive block priority information from a file system via a communication agent. The block priority information and the file system are associated with the storage medium. Based on the block priority information, the controller is to selectively perform an operation on the storage medium. The operation includes a reconstruction operation, a data scrubbing operation, and a data migration operation.

Block priority information

Systems and methods for presenting managed data from one or more applications are invented and disclosed. A data storage management system comprises a data store, a data storage manager, and a graphical user interface. The data storage manager is communicatively coupled to the data store and configured to allocate and use logical and physical storage elements of the data store via an application instance. The graphical user interface exposes data storage in application specific storage units. A method for managing data comprises coupling a data store to one or more applications, allocating storage on the data store in accordance with respective storage requirements expressed as an application instance associated with each of the one or more applications, and using a graphical user interface to expose the data store in application storage units associated with the one or more applications.

Systems and methods for presenting managed data

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Fort Collins, CO, United States of America

Mark Evan Mills