Microsoft Technology Licensing, LLC

Charles Joseph Williams

Eric Clarence Peterson

Christian L Belady

Shaun L Harris

Sergey Bykov

Craig Jensen

Gabriel Kliot

Chia-Chi Lin

Suyash Sinha

Navendu Jain

James R Larus

Sreenivas Addagatla

Boyd Hays

Mohamed E Fathalla

Janine A Harrison

Dan Reed

Harlan Husmann

Described herein are various technologies pertaining to predicting an amount of electrical power that is to be generated by a power system at a future point in time, wherein the power system utilizes a renewable energy resource to generate electrical power. A camera is positioned to capture an image of sky over a geographic region of interest. The image is analyzed to predict an amount of solar radiation that is to be received by the power source at a future point in time. The predicted solar radiation is used to predict an amount of electrical power that will be output by the power system at the future point in time. A computational resource of a data center that is powered by way of the power source is managed as a function of the predicted amount of power.

Scheduling a computational task for performance by a server computing device in a data center

Localized weather prediction through utilization of cameras

A framework for building an adaptive management system is described herein. Tools for building customized Agents that communicate by way of an interface abstraction over many mediated and non-mediated communications channels are described herein, wherein such tools allow for the Agents to be decoupled in terms of at least one of space, time, transport, synchronization, or communications direction.

Elastic management framework

A framework that enables a local computing cloud infrastructure for rural (and third world) populations with the ability to connect into the global cloud. The framework include is a low cost architecture of long distance, wireless based, renewable energy powered, and small datacenter (DC) (referred to as a pico-DC) nodes that can fully operate off-grid, both power-wise and Internet connection-wise at a very low cost. Additionally, the framework includes power management and storage techniques that effectively enable low power and efficient power use. Thus, systems are self-sufficient, low maintenance and weather proof with no need for power or data connections.

Wireless cloud-based computing for rural and developing areas

The claimed subject matter relates to an architecture or arrangement that can limit access to sensitive information by means of encryption. In particular, data obtained from a payment instrument at, e.g., a Point-Of-Sale (POS) location can be encrypted at an early stage such that a POS (or another) application does not have access to the data in an unencrypted form and/or does not have access to a means for decrypting the data. For example, a Public Key Infrastructure (PKI) arrangement can be employed such that a back-end payment processor can define encryption algorithms, associate itself with a public key, and maintain a private key for decryption. The public key can be delivered to the POS location and employed for data encryption, and, moreover, the PKI can be regulated by the more trusted parties.

Securing payment data

The described implementations relate to energy-aware server management. One implementation involves an adaptive control unit configured to manage energy usage in a server farm by transitioning individual servers between active and inactive states while maintaining response times for the server farm at a predefined level.

Energy-aware server management

The deployment of multiple embedded operating system components provides a designer with flexibility when customizing an embedded operating system for a target computing device. The embedded operating system components provide extra features to expand the functionality of the target computing device. The ease with which the designer may select various embedded operating system components to deploy from an originating computing device to the target computing device simplifies the design process. Configuration data of a core embedded operating system and configuration data of the deployed embedded operating system components are merged and any conflicts between configuration data are automatically resolved without rebooting the target computing device.

Deployment of multiple embedded operating system components

Growing community of inventors

Bothell, WA, United States of America

Charles Joseph Williams