Hewlett-Packard Development Company, L.p.

Vigyanlabs Innovations Private Limited

International Business Machines Corporation

Vigyanlabs Inc.

Srivatsa Krishnaswamy

Srinivas Varadarajan

Mousumi Paul

Franz Koppold

Subbraya Shailesh Kumar Dave

Ramamurthy Shamasastry

Sanjaya Ganesh

Lakshmi Kutty Cheeniyil

William A Mills

Frank L Stein

Sanjaya Ganesh Hariharan

Tien Michael Nguyen

Tien Haphi Nguyen

A system and method configured in an electrical device for providing a monitoring solution that identifies the intermittent or anomalous behavior of electronic/electric appliances when in use, comprising: receiving present real-time power features like current, voltage, power factor, power consumption of the associated device, and maintaining a history of past real-time readings of the device in its ideal working periods; forming rule-based clusters of different internal states of the device from the past history data at ideal working periods; determining which of said present readings are correlated; computing a deviation between at least some of said present and at least some of said clusters; and declaring an anomaly when said present readings deviation exceeds a predetermined threshold from all of the said clusters.

System and method of monitoring electrical devices to detect anomaly in the electrical devices

Data Center (DC) server power management monitors resource utilization and energy consumption characteristics of an individual host server, and a Virtual Machine (VM) and the applications running inside any VM of DC servers. An analysis and learning module identifies trends and opportunities to optimize DC resources by releasing the underutilized host servers. It derives power metrics to measure the energy footprint of the VMs and the associated applications. It suggests optimal destination servers to migrate each of the VMs with corresponding applications from the underutilized host servers. The power consumption of these VMs with their applications on the power-efficient destination servers is less after the migration. Powering off the underutilized freed-up servers saves energy impacting the overall power consumption of the data center. The learning modules predict the opportunities for power capping on any VM or physical host server to reduce the data center's energy consumption without impacting performance.

System and method to analyze and optimize application level resource and energy consumption by data center servers

A system and method configured with an electronic device to enable prediction-based power management by providing direct transition to a lower power state such that overall energy consumption is reduced. The system and method includes an idleness information recording module configured to, using a power management agent, non-intrusively observe and record usage and idleness information of the electronic device, a learning module configured to, using a neural network operatively coupled with the power management agent, conduct deep learning of idleness patterns of the electronic device, a prediction module configured to predict future idleness of the electronic device based on the deep learning of the idleness patterns, and a prediction-based lower power state transfer module configured to directly transition the electronic device to lower power state based on the predicted future idleness.

System and method to enable prediction-based power management

A system including an intelligent power management device including a plurality of sub-devices, a communication component communicatively connect the device to a communication network, wherein an intelligent power management (IPM) agent is continually run on the device and is configured to save power consumption on the device based on a plurality of power management policies including power management actions for controlling power consumption of a sub-device, wherein the power management policy is received from a remote server, and wherein the IPM agent is configured to adaptively change, using historic usage data of a plurality of users of the intelligent power management device, the power management actions to optimize a power saving on the plurality of sub-devices for each of the plurality of users.

Adaptive power consumption management in smart devices

A peak power management system for networked smart IT devices. These smart devices have computing capability with at least one CPU and memory and can be networked. An uninterruptible power supply provides power to the smart devices. A central intelligent power management server controls the power consumed by all the smart devices networked with the server. The system uses priority based peak power management policies for smart IT devices assisted by fine grain control of external power drawn by each device. By applying different power management policies at different scheduled intervals and controlling the power consumption on the smart devices, the aggregated peak power demand is controlled. The policies can be adapted in-time to suit the actual, real-time power requirement of devices, their priorities, and applicable peak power limit at that time. Also, dynamic policy based peak power management can be extended to an intelligent hierarchical power distribution network.

Distributed information technology infrastructure dynamic policy driven peak power management system

For migrating a work flow in a workflow management system having at least one process instance executing an original process definition, each process instance is checked during the execution of the original process definition whether the process instance meets the migration condition. If the migration condition is met, the corresponding process instance is migrated to a modified process definition while executing the original definition.

Migration of a workflow system to changed process definitions

A common programming interface in a communication subsystem controller allows protocols to be developed or modified to communicate with the communication subsystem controller. Once a protocol layer is able to communicate with the communication subsystem controller, the protocol layer is stacked with other protocol layers compatible with the communication subsystem controller. A table in the communication subsystem controller specifies an order of protocol layers in the protocol stack. These protocol layers in the protocol stack communicate with their adjacent protocol layers through the communication subsystem controller.

Multi-protocol communication subsystem controller

A method is disclosed for managing a workflow process to bring execution time for said process at least closer to an expected deadline. The process includes a plurality of work nodes and a set of priority levels associated with each work node. The method includes the steps of: generating for each work node a set of expected time to complete (ETC) values for each priority level, each ETC value denoting a cumulative time to complete the process including the time taken by the corresponding node to complete its activity for a selected priority level; selecting for each work node a priority level that has a corresponding ETC value less than or equal to a remaining time available to meet said deadline; and executing activities associated with said work nodes in accordance with said selected priority levels to substantially meet said expected deadline.

System and method for managing a workflow process

A common programming interface in a communication subsystem controller allows protocols to be developed or modified to communicate with the communication subsystem controller. Once a protocol layer is able to communicate with the communication subsystem controller, the protocol layer is stacked with other protocol layers compatible with the communication subsystem controller. A table in the communication subsystem controller specifies an order of protocol layers in the protocol stack. These protocol layers in the protocol stack communicate with their adjacent protocol layers through the communications subsystem controller.

Multiple-protocol communication subsystem controller

An interactive video system supports functions typically expected with a VCR such as play, pause, fast forward and rewind. A set top box is coupled to a display terminal and a first interface. The set top box includes a memory for storing an operating system in set top enabling codes. A video dial tone network includes a control channel and a data channel coupled to a second interface linked to the first interface. A first gateway controls establishment of a video session between a video server and the display terminal. A second gateway establishes connection between the video server and the set top box over a data channel in response to an input from the first gateway. An application server coupled to the first gateway and the video server contains executable code for transferring video data, video and audio information from the video server to the display terminal. The application server includes a shared queue coupled to a plurality of application engines and set top boxes and includes program code for multi-tasking operation. The code operates the application engines in response to application tables to provide video transmission as a panel object indicative of the state of set top boxes in a video session.

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Bengaluru, India

Srivatsa Krishnaswamy