Empire Technology Development LLC

The Directv Group, Inc.

Other

Columbia University

S3 Graphics Co., Ltd.

Lstar Technologies LLC

Andrew Wolfe

Thomas Martin Conte

David Westerhoff

Steven M Nowick

Tom Conte

William Henry Mangione-Smith

Christopher W Chevalier

Edward J Brachocki

Christopher L Porter

Martin Benes

Marc Elliot Levitt

Stephen G Maine

Techniques for cloud data backup are disclosed. Example methods may store backup data from a client computer on portions of data storage media associated with peer computers. In some example embodiments, a file may be encoded into segments using an error-tolerant encoding scheme, and the segments may be stored on peer computers. In some example embodiments, individual segments may be stored on more than one peer machine and/or an individual peer machine may not receive all of the segments associated with the file.

Cloud data backup storage manager

Examples of maintaining or querying a traffic database to generate a traffic flow model to provide traffic flow information and determine a per-lane route for a vehicle to travel are disclosed.

Traffic flow model to provide traffic flow information

Techniques are generally described related to management of power consumption for a processor. One example method may include identifying a target operating constraint and a first operating parameter; determining a second operating parameter based on the target operating constraint and the first operating parameter; estimating an actual operating constraint; comparing the target operating constraint and the actual operating constraint; and setting up the first operating parameter and the second operating parameter of the processor based on a comparison of the target operating constraint and the actual operating constraint, wherein the target operating constraint is not a worst-case operating constraint. Other examples of methods, systems, and computer programs related to managing power consumption for a processor are also contemplated.

Power management for processor

A population activity mapping method may include detecting a plurality of wireless mobile devices within a geographic region. Individual wireless mobile devices may include a processor, a user interface, a transmitter and a receiver. The detecting operation may be performed by use of a wireless access point, a GPS satellite, and/or a base station, and may be performed at least two different points in time. Input data may be provided based upon the detecting operation. A distance and speed at which the mobile devices travel within the geographic region may be discerned dependent upon the input data. The discerning operation is performed by at least one processor of a computer network. A time and/or location at which salable output is to be made available and/or an amount of salable output to be made available may be determined dependent upon the discerning operation.

Telemetrics based location and tracking

Techniques are generally described for mapping a thread onto heterogeneous processor cores. Example techniques may include associating the thread with one or more predefined execution characteristics, assigning the thread to one or more heterogeneous processor cores based on the one or more predefined execution characteristics, and/or executing the thread by the respective assigned heterogeneous processor cores.

Mapping thread phases onto heterogeneous cores based on execution characteristics and cache line eviction counts

Techniques described herein generally relate to multi-core processors including two or more processor cores. Example embodiments may set forth devices, methods, and computer programs related to calculating a clock rate for one or more of the processor cores in the multi-core processor. One example method may include determining a first estimated workload for a first processor core and a second estimated workload for a second processor core within a scheduling interval in a periodic scheduling environment. In addition, a first clock rate for the first processor core may be calculated based on one or more of the first estimated workload, a maximum clock rate supported by the multi-core processor and/or the scheduling interval. Similarly, a second clock rate for the second processor core may also be calculated based on one or more of the second estimated workload, the maximum clock rate, and/or the scheduling interval.

Processor core clock rate selection

An operating system sandbox may include an operating system isolation module configured to restrict an operating system from transmitting machine-readable data and/or machine-readable instructions to an application, based on at least one predefined rule corresponding to abnormal operating system behavior.

Operating system sandbox

A data center management system may include a processor coupled to a network. The network may be further coupled to a primary data center and a secondary data center located at a physical location remote from the primary data center. The processor may be adapted to execute computer implemented instructions to determine a first transition point for the primary data center with respect to a secondary data center on the basis of one or more financial indicators, transfer one or more data center tasks from the primary data center to the secondary data center at substantially the first transition point, and execute the one or more transferred data center tasks at the secondary data center.

Data centers task mapping

Techniques are generally described for a multi-core processor with a plurality of processor cores. At least one cache is accessible to at least two of the plurality of processor cores. The multi-core processor can be configured for separately allocating a memory space within the cache to the individual processor cores accessing the cache.

Allocation of memory space to individual processor cores

A network of switches may be adapted to route image data to one or more processor cores based on tags associated with data samples, where each tag includes at least one reference-space coordinate value. When image data is received by the network, the image data may be spatially transformed to a reference space, e.g., the physical space that is represented by the image data, to generate the data samples and each data sample may be tagged with a corresponding reference space coordinate value and routed through the network to one or more of the processors according to the tag.

Routing image data across on-chip networks

Techniques for thread mapping in multi-core processors are disclosed. An example computing system is disclosed having a multi-core processor with a plurality of processor cores. A performance counter may be configured to collect data relating to the performance of the multi-core processor. A core controller may be configured to map threads of execution to the processor cores based at least in part on the data collected by the performance counter.

Thread-to-core mapping based on thread deadline, thread demand, and hardware characteristics data collected by a performance counter

Techniques described herein generally relate to methods, data processing devices and computer readable media to ensure that data stored in a remote backing storage device are in encrypted form before that data is transferred to another device or over a network. In some examples, the methods, data processing devices and computer readable media may be arranged to encrypt the data passed to the network when the data stored in the backing storage device is in unencrypted form. Also disclosed are methods, data processing devices and computer readable media that identify when the data stored in the backing storage device is in unencrypted form, including methods that may detect that the data may appear to be in encrypted form as a result of the data being compressed.

Securing backing storage data passed through a network

A video server adaptively selects an appropriate video encoding standard and an appropriate video encoding rate for encoding video content to be downloaded to one or more video client devices over a communication network. The video server adaptively selects the video encoding standard and the video encoding rate based upon factors such as the data transmission rate of the communication network, the processing speed of the video client device, or the type of the video content to be downloaded. Once the video encoding standard and the video encoding rate are selected, video content can be transcoded prior to downloading to one or more video client devices. During the download, the video content may be adaptively transrated, such as in response to a change in the data transmission rate of the communication network.

Method and system for adaptive transcoding and transrating in a video network

Techniques are generally described for an image capture system that may include an image sensor, a flash for providing illumination, a data storage, and a processor operatively associated with the data storage. The processor may be adapted to execute computer implemented instructions to pre-store one or more image capture device characteristics in the data storage, acquire data in a pre-capture phase, model shadow effects based on either or both of the pre-stored data and the acquired data, modify one or more image capture device settings based on the modeled shadow effects, and record image data with the image sensor. Illumination may be provided substantially coincident with recording of the image data.

Growing community of inventors

Los Gatos, CA, United States of America

Andrew Wolfe