Abstract: In disclosed techniques, augmented power control within a datacenter uses predictive modeling. A power usage by a first data rack within a datacenter is measured, using one or more processors, over a first period of time. A predicted power usage by the first data rack over a second period of time is generated on a computing device, wherein the second period of time is subsequent to the first period of time. A power correlation model is calculated that correlates a power prediction to an actual power usage. The predicted power usage for the second period of time is refined, based on the predicted power usage and the power correlation model. The refining is accomplished using a power prediction model comprising the predicted power usage and the power correlation model. Datacenter power structure is configured, based on the refined power usage prediction.

Abstract: Multi-level data center using consolidated power control is disclosed. One or more controllers communicate with one or more power supplies and sensors to adapt to dynamic load requirements and to distribute DC-power efficiently across multiple IT racks. The distributed DC-power includes one or more DC-voltages. Batteries can be temporarily switched into a power supply circuit to supplement the power supply during spikes in power load demand while a controller reconfigures power supplies to meet the new demand. One or more DC-to-AC converters handle legacy power loads. The DC-to-AC converters are modular and are paralleled for redundancy. The DC-to-AC converters are sourced from the one or more AC-to-DC converters. The AC power is synchronized for correct power flow control. The one or more controllers communicate with the one or more AC-power supplies to dynamically allocate AC-power from the DC-to-AC converters to the multiple legacy IT racks.

Abstract: Techniques for datacenter power management using dynamic redundancy are disclosed. A power control switch is configured to selectively apply power to one or two power cords of a dual-corded electronic apparatus. When the power control switch energizes both power cords, the electronic apparatus operates in 2N redundancy. When the power control switch energizes only one of the power cords, the electronic apparatus operates in 1N redundancy. The power control switch is configured to dynamically change the redundancy mode based on service level agreement (SLA) criteria, power policies, power supply and demand, and environmental factors.

Abstract: Embodiments provide techniques for datacenter power management using variable power sources. Power from the variable power sources is stored in a power cache. An optimization engine receives input criteria such as power availability from non-variable and variable power sources, as well as one or more power management goals. The optimization engine implements a dispatch strategy that dispatches stored energy from the power cache and feeds it to the datacenter, resulting in a mixture of non-variable and variable power sources used to achieve the power management goals, such as reduced power cost, increased power availability, and lowered carbon footprint for the datacenter.

Abstract: Multi-level data center consolidated power is disclosed. One or more controllers communicate with one or more power supplies and sensors to adapt to dynamic load requirements and to distribute DC-power efficiently across multiple IT racks. The distributed DC-power includes one or more DC-voltages. Batteries can be temporarily switched into a power supply circuit to supplement the power supply during spikes in power load demand while a controller reconfigures power supplies to meet the new demand. In embodiments, one or more DC-to-AC converters handle legacy power loads. The DC-to-AC converters are modular and are paralleled for redundancy. The AC-power is synchronized for correct power flow control. The one or more controllers communicate with the one or more AC-power supplies to dynamically allocate AC-power from the DC-to-AC converters to the multiple IT racks.

Abstract: Disclosed techniques enable power manipulation within a data center based on power policies. Power policies are used to establish behavior based on limits for power consumption, power generation, and other criteria. Rules are established to provide fractional power sharing and control under certain conditions. Power caches are used to supplement power sources under conditions of peak power requirements. When power requirements are below a threshold set forth in a power policy, the power caches are replenished.

Abstract: Disclosed are systems and methods to provide energy control via power-requirement analysis and power-source enablement. Both demand-side and supply-side techniques are used alone or in conjunction to determine an optimal number of power sources to supply power to one or more loads. When fluctuations in power requirements are present, measures such as decoupling less-critical loads in order to continue delivering power to critical systems and turning on and off power sources as needed to meet the current power demands of a system are implemented. Power sources are periodically deactivated by the system on a rotational basis such that all power sources wear evenly, prolonging the life of the equipment. A scalable architecture that allows the virtualization of power from the underlying hardware form factor is also provided.

Abstract: Multi-level data center consolidated power is disclosed. One or more controllers communicate with one or more power supplies and sensors to adapt to dynamic load requirements and to distribute DC-power efficiently across multiple IT racks. The distributed DC-power includes one or more DC-voltages. Batteries can be temporarily switched into a power supply circuit to supplement the power supply during spikes in power load demand while a controller reconfigures power supplies to meet the new demand. In embodiments, one or more DC-to-AC converters handle legacy power loads. The DC-to-AC converters are modular and are paralleled for redundancy. The AC-power is synchronized for correct power flow control. The one or more controllers communicate with the one or more AC-power supplies to dynamically allocate AC-power from the DC-to-AC converters to the multiple IT racks.

Abstract: A system for at least one virtual power apparatus includes a first virtual power apparatus that includes a first port configured to receive a first power signal, a second port configured to provide a second power signal, and a power system controller communicatively connected to a power device. The power system controller is configured to receive an image of an electric power solution, wherein the image comprises instructions for deriving the second power signal by altering and routing the first power signal, process the image by converting the image instructions into commands understandable by the power device, and send the commands to the power device for realizing the image in the power device. The power device is configured to receive the command for realizing the image, derive the second power signal, and provide the second power signal to the second port.

Abstract: Systems and methods are disclosed for capturing data representative of user interactions with a desktop computer, and processing the capture data to identify and analyze business processes performed by the user. The disclosed system comprises listeners that capture key actuations, mouse-clicks, screen information, and other data representative of user interaction with a desktop computer. A desktop observer is provided to accept capture data from listeners, to temporarily store the capture data if necessary, and to pass the capture data to a process intelligence server. The process intelligence server includes a process discovery module the analyzes the capture data and identifies business processes corresponding to the capture data, or models business processes. A process data master storage is provided.

Abstract: A method and system for generating knowledge objects from captured process data and identification of user interface information includes knowledge object logic, knowledge object content, knowledge object presentation and knowledge object deployment. After capture of process data, analysis of the process is performed. The context of the process is defined, the best practices are identified, and process documentation and training on the process is performed through an interface. Once these elements are prepared as templates, they are deployed to a user to permit even an untrained user to perform the process as if the user were an expert.

Abstract: A system and method for remote capture, identification, cataloging, and modeling of processes remotely captures the processes performed by a user on a machine, for example, a computer. Capture may include capturing input to the computer and manual tasks via video and/or audio capture. The tasks are identified, cataloged and stored. Modeling is possible by streaming the captured data back to a computer. The captured data may be edited and the edited versions compared or benchmarked by performing simulations of each.