Vigyanlabs Innovations Private Limited

Hewlett-packard Development Company, L.p.

Vigyanlabs Inc.

Srinivas Varadarajan

Srivatsa Krishnaswamy

Franz Koppold

Subbraya Shailesh Kumar Dave

Ramamurthy Shamasastry

Mousumi Paul

Sanjaya Ganesh

Sanjaya Ganesh Hariharan

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 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

A power management system includes a power management agent and a computing device comprising a CPU, memory, persistent storage, operating system, and communication mechanism. A power management server communicates with the communication mechanism using a secure communication protocol, communicates with the power management agent when the agent is in the connected mode, and provides a non-intrusiveness monitoring function. The power management agent operates in both a connected and disconnected mode, and maintains a list of applications, tasks, and activities and their dependency on power manageable components in the device. An application control framework defines a non-intrusiveness of a device for every application on the device and a usage of the device to allow fine grain control of the device. A management station sends a set of monitoring commands to at least one agent to monitor the intrusiveness of a power management function on the device without enforcing any power management.

Fine grain non-intrusive distributed information technology infrastructure power management system

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 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.

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Mysore, India

Srinivas Varadarajan