Abstract: A method, system and computer product for performing storage maintenance is described. A training set for storage volume reclamation is received. The training set for storage volume reclamation contains sets of storage parameters for storage volumes and corresponding user decisions whether the storage volumes are reclaimable. The training set is used to train a machine learning system to recognize reclaimable candidate storage volumes. The trained machine learning system is used to determine that a candidate storage volume for reclamation is likely a reclaimable storage volume.

Abstract: 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.

Abstract: A method, system and computer product for performing storage maintenance is described. A training set for storage volume reclamation is received. The training set includes a set of storage parameters, each set of storage parameters corresponds to a respective candidate storage volume of a set of candidate storage volumes. The training set also includes a set of user decisions made whether a respective candidate storage volume is reclaimable. The training set is used to train a machine learning system to recognize common features of reclaimable candidate storage volumes. A set of candidate storage volumes is provided for potential reclamation, each with a set of storage parameters. A graphical user interface presents respective members of the set of candidate storage volumes for reclamation if a confidence level is calculated that the respective candidate storage volume is reclaimable exceeds a threshold.

Abstract: A method, system and computer product for performing storage maintenance is described. A training set for storage volume reclamation is received. The training set for storage volume reclamation contains sets of storage parameters for storage volumes and corresponding user decisions whether the storage volumes are reclaimable. The training set is used to train a machine learning system to recognize reclaimable candidate storage volumes. The trained machine learning system is used to determine that a candidate storage volume for reclamation is likely a reclaimable storage volume.

Abstract: 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.

Abstract: A method, system and computer product for performing storage maintenance is described. A training set for storage volume reclamation is received. The training set includes a set of storage parameters, each set of storage parameters corresponds to a respective candidate storage volume of a set of candidate storage volumes. The training set also includes a set of user decisions made whether a respective candidate storage volume is reclaimable. The training set is used to train a machine learning system to recognize common features of reclaimable candidate storage volumes. A set of candidate storage volumes is provided for potential reclamation, each with a set of storage parameters. A graphical user interface presents respective members of the set of candidate storage volumes for reclamation if a confidence level is calculated that the respective candidate storage volume is reclaimable exceeds a threshold.

Abstract: Host port information is pulled directly from the switch before zoning is performed and is organized by chassis as an assist for mapping and masking an entire chassis. A graphical user interface allows a user to select storage by chassis to map and to select servers by chassis to map. The user then applies that mapping such that all servers selected are mapped to all storage selected. The user may repeat this mapping for another set of storage and servers. In a mixed environment, an icon may be shown in the graphical user interface to represent the mix. When the LUN mapping/masking is done, the LUN mapping/masking may be provided to the SAN manager to perform zoning. The LUN mapping/masking defines which host ports see which storage ports.

Abstract: Host port information is pulled directly from the switch before zoning is performed and is organized by chassis as an assist for mapping and masking an entire chassis. A graphical user interface allows a user to select storage by chassis to map and to select servers by chassis to map. The user then applies that mapping such that all servers selected are mapped to all storage selected. The user may repeat this mapping for another set of storage and servers. In a mixed environment, an icon may be shown in the graphical user interface to represent the mix. When the LUN mapping/masking is done, the LUN mapping/masking may be provided to the SAN manager to perform zoning. The LUN mapping/masking defines which host ports see which storage ports.

Abstract: An apparatus and methods are disclosed for displaying a physical view of a monitored device. The apparatus for displaying a physical view of a device is provided with a plurality of modules configured to functionally execute the steps of displaying a physical representation of a device, generating a plurality of grid lines in association with a predetermined portion of the physical representation of the device, and displaying an icon configured to convey information regarding a status of the device, wherein the icon is displayed within an area defined by the plurality of grid lines. These modules in the described embodiments include a rendering module, a grid module, and a status module.

Abstract: In an embodiment of the present invention, in a matrixed method for serial attached SCSI (SAS) fabric management, a user is provided with a graphical dynamic matrix table, which illustrates a plurality of matrixed cells corresponding to a plurality of zone groups in a one-to-one relationship. The matrixed cells are organized as a graphical dynamic table on an X-axis and a Y-axis. The table is a packed table, meaning the X and Y axes only display populated (or active) zone groups. To modify the zoning configuration the user uses a pointing device such as a mouse to left click the appropriate matrixed cell to toggle between states. There are four states ‘mutual access’, ‘previous mutual access’, ‘proposed mutual access’, and ‘no access’.

Abstract: In an embodiment of the present invention, in a matrixed method for serial attached SCSI (SAS) fabric management, a user is provided with a graphical dynamic matrix table, which illustrates a plurality of matrixed cells corresponding to a plurality of zone groups in a one-to-one relationship. The matrixed cells are organized as a graphical dynamic table on an X-axis and a Y-axis. The table is a packed table, meaning the X and Y axes only display populated (or active) zone groups. To modify the zoning configuration the user uses a pointing device such as a mouse to left click the appropriate matrixed cell to toggle between states. There are four states ‘mutual access’, ‘previous mutual access’, ‘proposed mutual access’, and ‘no access’.

Abstract: Disclosed is a system for cabling including a component network comprising a server that includes a server wireless detector and at least one server LED associated with at least one server port, and at least one satellite device, each of the at least one satellite devices including a satellite wireless detector that is detectable by the server wireless detector and at least one device LED associated with at least one device port, a relative position coordinator associated with the server and each of the at least one satellite devices, and an interactive map generation tool associated with the server, the map directing a user through a cabling path process via an information link between the server and at least one satellite device and a physical location map.