Abstract: A system for monitoring, controlling and optimizing power usage and cooling utilization within a data center infrastructure. The system may make use of a subsystem which is adapted to obtain real time information on both facility devices and information technology (IT) devices. The subsystem may be used to evaluate the real time information to provide an alert and diagnostic information with respect to at least one of the facility devices or at least one of the IT devices. The subsystem may also make use of a mechanism that provides real time control over at least one of the facility devices or at least one of the IT devices to optimize at least one of cooling utilization, power usage or performance of at least one of the facility devices or at least one of the IT devices.

Abstract: The present disclosure is directed to a system for controlling a plurality of managed devices. The system may involve a manageability services module adapted to facilitate communication between the plurality of managed devices and a central user located remotely from the plurality of managed devices. The system may also involve a manageability engine module that communicates with the manageability services module. The manageability engine module may have an element library storing parameters associated with the plurality of managed devices, and may be configured to perform a number of useful operations such as: facilitating communication between the managed devices and the manageability services module; discovering a new managed device; and collecting, aggregating and providing real time analytics on the data collected from the managed devices. A database may be used to store data collected by the manageability engine module.

Abstract: A method and system to detect a correlation of movements of an input device, sent from a first location, with at least one configurable movement parameter set on a remote computer at a second location remote from the first location, wherein the method includes: (a) sending first movement information from the first location to the remote computer at the second location, the first movement information corresponding to a first movement of the input device; (b) tracking a resulting movement of a cursor of the remote computer at the second location in response to the remote computer having received the first movement information and utilized the at least one configurable movement parameter; (c) calculating predicted movements utilizing at least two possible values for the at least one configurable movement parameter; and (d) determining which of the at least two possible values provides the predicted movement most closely matching the resulting movement of the cursor.

Abstract: An Intelligent Network Peripheral (INP) is equipped with a recording control processor that is connected to at least one internal or external recording device (e.g., hard drive, disk array, CD-recorder, DVD recorder, and/or tape device). Using the INP, a user may be prompted to perform an activity, such as (1) start a new recording session, (2) playback a recorded session, (3) delete a recorded session, (4) edit recording parameters (e.g., the number of stored frames, the length of a session to record, the resolution of the image to record), and (5) re-run a recorded session. An INP may be incorporated into a Keyboard/Video/Mouse (KVM) switch, a Rack Connection Manager (RCM) and/or a Pod Extension Module (PEM) for recording at least one of video from and user input to a computer for diagnostic and other purposes.

Abstract: Methods and systems are provided to precisely model the power consumption of both monolithic (physical) and virtual computing devices in near-real-time or real-time, allowing for precise prediction and classification of power and/or resource use and detection of anomalous power and/or resource utilization solely based on a system's operational workloads.

Abstract: Methods and systems provide the wireless use of a desktop computer through a lightweight long-range mobile computing device with extended battery life and no writeable or user-accessible persistent data storage, such as a hard drive, which could be detrimental if lost. The light-weight mobile computing may not run a full operating system, thereby reducing overhead and increasing speed. The mobile computing device provides mobility while providing access to information on a desktop computer. Since some components of conventional laptops are not needed, it may be smaller and/or have lighter weight, and provide extended battery life, while providing greater security by avoiding the risk of data loss. These systems provide a lightweight mobile wireless KVM device (e.g., a small “notebook” computing device or tablet computer device) to connect to desktop computers. These lightweight, mobile computing devices may provide “instant on” capabilities avoiding the start up time of normal laptop computers.

Abstract: Methods and systems provide the automatic tracking of the physical location of information technology components in a data center. These systems automatically identify where a given IT component, such as a server, router, switch or other device, is located. They automatically identify which slot the IT component is located in a given rack in the data center. They include “smart” brackets containing small ID chips attached to the rack-based IT components and a “smart” rack rail for detecting the brackets. Each smart bracket uniquely identifies the IT component to which it is attached. The smart rack rail identifies the slot of the rack in which the IT component resides and communicates with a microcontroller to relay the position information to a database.

Abstract: A remote administration system's ability to communicate with remote computers using in-band communications is contingent on many factors (e.g., the operability of the network over which the in-band communications is carried and, to some extent, the correct operation of the software on the remote computer). Accordingly, there may come a time (e.g., during a network outage) where the remote administration system can no longer communicate with the remote computer over the preferred communications protocol (e.g., using in-band communications). In such a case, a status detector of the remote administration system may detect that an error has occurred (e.g., by “pinging” the remote computer and getting no response or by losing an open network connection) and then switch to a less preferred communications protocol (e.g., using out-of-band communications).

Abstract: An Intelligent Network Peripheral (INP) is equipped with a recording control processor that is connected to at least one internal or external recording device (e.g., hard drive, disk array, CD-recorder, DVD recorder, and/or tape device). Using the INP, a user may be prompted to perform an activity, such as (1) start a new recording session, (2) playback a recorded session, (3) delete a recorded session, (4) edit recording parameters (e.g., the number of stored frames, the length of a session to record, the resolution of the image to record), and (5) re-run a recorded session. An INP may be incorporated into a Keyboard/Video/Mouse (KVM) switch, a Rack Connection Manager (RCM) and/or a Pod Extension Module (PEM) for recording at least one of video from and user input to a computer for diagnostic and other purposes.

Abstract: A method and system to detect a correlation of movements of an input device, sent from a first location, with at least one configurable movement parameter set on a remote computer at a second location remote from the first location, wherein the method includes: (a) sending first movement information from the first location to the remote computer at the second location, the first movement information corresponding to a first movement of the input device; (b) tracking a resulting movement of a cursor of the remote computer at the second location in response to the remote computer having received the first movement information and utilized the at least one configurable movement parameter; (c) calculating predicted movements utilizing at least two possible values for the at least one configurable movement parameter; and (d) determining which of the at least two possible values provides the predicted movement most closely matching the resulting movement of the cursor.