International Business Machines Corporation

Nedzad Taljanovic

Ezequiel Cervantes

Jorge Daniel Acuna

Andrew Gary Hourselt

Teresa Shen Swingler

John Thomas Olson

John Jason Auvenshine

Erik Bartholomy

Ashaki Ayanna Ricketts

Kelly Louise Hicks

Jorge D Acuña

Deanna Lynn Quigg Brown

David Joseph Gimpl

Louis Daniel Echevarria

John Donald Lauer

Melissa Jorgette Garcia

Dinesh Chandra Coca

James Blaine Engle

Elena Schneider

Ralph Thomas Jackson

Evan Thomas Webster

Wazim Imrhan Reid

Brenda B Gimpl

Eric Galen Davis

Melissa J G Santero

For displaying an off-switch location, a processor displays a rack image of a physical rack of a plurality of monitored devices separate from the processor. The processor displays an icon configured to convey a status of each monitored device of the plurality of monitored devices. The processor monitors a position of a mouse. The processor identifies a given monitored device at the position of the mouse and configuration data associated with the given monitored device. The configuration data defines an area of the rack view associated with the given monitored device. In response to identifying the given monitored device, the processor displays a locate off hyperlink for the given monitored device. In response to a selection of the locate off hyperlink, the processor displays an off-switch location on the rack image of the given monitored device.

Displaying an off-switch location

Various embodiments for intelligent homepage tuning using a processor device in a computing environment. Usage patterns of website activity within a web browser are recorded. The recorded usage patterns are stored. A preferred homepage is determined and displayed within the web browser according to time and location based on the stored recorded usage patterns.

Intelligent homepage tuning in a web browser

The embodiments described may be directed toward a file management system for managing a file folder location, a method for managing one or more data clusters, and a method of recommending a file storage location. The method of recommending a file storage location may also include plotting one or more data points onto one or more vectors. A received data point may be obtained from a file save request. The method may also include creating one or more data clusters from the vector data points using a clustering mechanism.

Management of file storage locations

An apparatus for predicting a command in a command line interface includes a template command module, a parameter derivation module, and a parameter substitution module. The template command module is configured to determine a template command based on a command line history. The template command includes a command name and a parameter and the command line history includes two or more previously entered commands. The parameter derivation module is configured to determine a parameter derivation rule for deriving the parameter in the template command based on the command line history. The parameter substitution module is configured to substitute a substitute parameter for the parameter of the template command according to the parameter derivation rule.

Predicting a command in a command line interface

A method for tailoring help systems to the expertise of users includes recording data related to a user's interaction with a product. The data is then analyzed to ascertain a level of expertise of the user relative to using the product. Upon receiving a request for assistance from the user with respect to the product, a help system may be selected based on the determined level of expertise of the user. The method may automatically provide assistance to the user through a more advanced help system in the event the user is ascertained to have a more advanced level of expertise. Similarly, the method may automatically provide assistance to the user through a less advanced help system in the event the user is ascertained to have a less advanced level of expertise. A corresponding apparatus and computer program product are also disclosed.

Expertise-matched help systems

Provided is a technique for improving file load times with dynamic storage usage. A file made up of data blocks is received. A list of storage devices is retrieved. In one or more iterations, the data blocks of the file are written by: updating the list of storage devices by removing any storage devices with insufficient space to store additional data blocks; generating a performance score for each of the storage devices in the updated list of storage devices; determining a portion of the data blocks to be written to each of the storage devices based on the generated performance score for each of the storage devices; writing, in parallel, the determined portion of the data blocks to each of the storage devices; and recording placement information indicating the storage devices to which each determined portion of the data blocks was written.

File load times with dynamic storage usage

System information may be retrieved by an element manager on a device in a data center system where the element manager detects an application programming interface (API) call to the element manager from a centralized manager. The element manager establishes a two-way communication channel between the first element manager and the centralized manager according to a communications protocol. The element manager queries the centralized manager for data center system information through the two-way communication channel. The centralized manager manages a storage area network containing the device of the element manager.

Information exchange in data center systems

Methods, computer systems, and physical computer storage medium for organizing data are provided. A method includes monitoring usage of the data, detecting a pattern in the usage of the data, and assigning a first concrete implementation associated with a first data structure to the data, based, in part, on the detected pattern of usage of the data. The method also includes identifying a change in the pattern of usage of the data, after the step of assigning and switching the first concrete implementation associated with the first data structure to a second concrete implementation, based, in part, on the change in the pattern of usage.

Method, computer system, and physical computer storage medium for organizing data into data structures

Aspects of the present invention disclose a system, method and program product for determining the affects of management actions. In an example, a computer determines a connectivity between one or more devices within a management inventory that are connected via a network. The computer determines a connectivity between the one or more devices within the management inventory after a proposed management action. The computer determines the one or more devices affected by the proposed management action. The computer sends a query to the one or more devices affected by the proposed management action for specific impacts of the proposed management action. The computer receives data related to the specific impacts of the proposed management action from the one or more devices affected by the proposed management action.

Device management for determining the effects of management actions

In one aspect of the present description, a systems manager based upon a common model of information protocol or standard includes automated storage area network (SAN) expansion management which permits additional provider modules to be automatically installed if needed in response to devices being added to the SAN. In addition, the automated SAN expansion management permits installed provider modules to be automatically configured in response to devices being added to the SAN. Still further, in another aspect, the automated SAN expansion management can automatically determine if a suitable host processor exists to host installation of a new provider module and if not, the automated SAN expansion management can automatically deploy a suitable host processor such as a virtual server to host installation of a new provider module. Other features and aspects may be realized, depending upon the particular application.

Automated deployment of software for managed hardware in a storage area network

In one aspect of the present description, a systems manager based upon a common model of information protocol or standard includes automated storage area network (SAN) expansion management which permits additional provider modules to be automatically installed if needed in response to devices being added to the SAN. In addition, the automated SAN expansion management permits installed provider modules to be automatically configured in response to devices being added to the SAN. Still further, in another aspect, the automated SAN expansion management can automatically determine if a suitable host processor exists to host installation of a new provider module and if not, the automated SAN expansion managementcan automatically deploy a suitable host processor such as a virtual server to host installation of a new provider module. Other features and aspects may be realized, depending upon the particular application.

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Tucson, AZ, United States of America

Nedzad Taljanovic