Amazon Technologies, Inc.

Marco Argenti

Khawaja Salman Shams

James Christopher Sorenson

Calvin Yue-Ren Kuo

Jonathan I Turow

Alan Conrad Rawcliffe

Shyam Krishnamoorthy

Colin Laird Lazier

Samuel John Young

Michael Christopher Wenneman

Nanyan Nicholls

Christophe Charpentier

Kunal Bhasin

James A Gosling

Shyam Krisnamoorthy

A vehicle information service implemented on one or more computers of a service provider network implements a first application programmatic interface (API) that allows a client to define inclusion parameters and a sample size for a fleet of vehicles from which vehicle data is to be collected. The vehicle information service also implements a second API that notifies the client when the requested vehicle data has been collected from the vehicle fleet. Additionally, the vehicle information service provides the client access to the collected vehicle data. The vehicle information service manages the collection of the vehicle data from the client defined vehicle fleet without requiring further client involvement and notifies the client when the collection of the vehicle data is complete.

Vehicle fleet information service

A service provider may provide a companion computer system associated with a mobile device in order to facilitate operation of the mobile device. The companion computer system and the mobile device may be associated in a database operated by the service provider. Furthermore, the companion computer system may execute a component of an application on behalf of the mobile device, where the mobile device executes another component of the application.

Instance backed mobile devices

An update service of a provider network transmits an update to an edge device by opportunistically selecting one communication channel (or transmission bandwidth) over another (e.g., based on analysis of performance metrics associated with the channel) to transmit different portions of the update to the edge device. For example, the update service may choose the channel with highest available bandwidth or the channel with the lowest failure rates. The update service may receive indications from the edge device that transmission of different update portions was successful. In some cases, the edge device itself may instead perform the selection of one communication channel over another (e.g., based on analysis of channel metrics) to receive different portions of the update at the edge device. The edge device may transmit indications that the edge device successfully received different portions of the update.

Opportunistic switching among communication channels to transmit an update to an edge device

A system comprising one or more computers implements a hardware feature access service. The hardware feature access service stores private keys that correspond to digital certificates embedded in chipsets of devices enrolled in the hardware feature access service. The hardware feature access service is configured to issue access or access revocation messages to the chipsets to 'lock' or “unlock” associated hardware components. The hardware feature access service also implements a service interface that allows clients to request changes to enabled feature sets for devices enrolled in the hardware feature access service. In response to such requests, the hardware feature service automatically and wirelessly enables or disables feature sets by locking or unlocking relevant hardware components of a device relevant to enabling or disabling the requested feature sets.

Remote hardware access service

A computing environment is disclosed that receives from devices requests directed toward services accessible in the environment, and that forwards communications from services in the environment to devices registered with the environment. During a registration process at the environment, devices are assigned a device identifier that is used to identify and authenticate each particular device and requests communicated from and to the device via the environment. The computing environment maintains state information for each device that has been registered with the system. As the device interacts with the system, the state information is updated to reflect the changes in the device. When requests to perform functions are received from devices, the computing environment determines for the particular device and the particular function requested what processing needs to be performed by the environment in response to the request.

Device state management

A system stores data, such as sensor data or other operational data, on a plurality of storage volumes in a sequence so as to allow for interpolations or other approximations of the data using a subset of the storage volumes in response to a request for information regarding that data. For example, a plurality of devices connect to the system to provide operational data, which is then stored in a specified sequence on a specified set of volumes. In response to a request for operational information regarding some or all of the devices, the system reads at least one of the volumes, and approximates the values of the data over a specified period of time. In some embodiments, the data may be buffered prior to storage, and a jitter analyzer determines whether the incoming data is anomalous relative to a baseline, which may be determined using related data sets.

Techniques and systems for storage and processing of operational data

A hub device or edge device implements adaptive data compression. The model training service analyzes the received data. A machine learning model of the hub device receives time-series data from one or more data sources and classifies respective portions of the time-series data as respective patterns. A data compressor at the hub device generates compressed data by applying different compression techniques to the respective portions of the time-series data according to a mapping of the compression techniques to the respective patterns. The hub device then transmits the compressed data to an endpoint for processing (e.g., another device that uses the compressed data). The hub device receives feedback for the compressed data. In response to the feedback, the hub device changes one or more of the compression techniques that are mapped to the respective patterns.

Using feedback for adaptive data compression

An application program may be analyzed to identify candidate classes or methods that may be executed using a remote computing node. Candidate classes or methods may be translocated to the remote computing node based on performance characteristics of the device on which the application program is running, the environment in which the device operates, and on the performance and availability of the remote computing node. An application program publisher may be assigned instances of virtual machines that may be dedicated to hosting translocated classes and methods.

Mobile and remote runtime integration

A system comprising one or more computers implements a hardware feature access service. The hardware feature access service stores private keys that correspond to digital certificates embedded in chipsets of devices enrolled in the hardware feature access service. The hardware feature access service is configured to issue access or access revocation messages to the chipsets to 'lock' or 'unlock' associated hardware components. The hardware feature access service also implements a service interface that allows clients to request changes to enabled feature sets for devices enrolled in the hardware feature access service. In response to such requests, the hardware feature service automatically and wirelessly enables or disables feature sets by locking or unlocking relevant hardware components of a device relevant to enabling or disabling the requested feature sets.

Technology is described for sharing device capabilities between a plurality of Internet of Things (IoT) devices. A first IoT device within a localized network may identify a desired device capability that is capable of augmenting device capabilities of the first IoT device. The first IoT device may identify a second IoT device within the localized network that possesses the desired device capability. The first IoT device may identify the second IoT device using a registry of device capabilities stored in the localized network. The first IoT device may obtain access to the desired device capability of the second IoT device to augment the device capabilities of the first IoT device.

Discovery of device capabilities

A custom content service provides customized content to a client who has opted-in to share limited location information with the customized content service. For example, the custom content service may customize content streamed to the client, such as videos, video games, audio, etc. based on experiences the client has had during the day. The custom content service may customize content for the client without requiring the client to directly make content selections and without interrupting viewing of content to ask the client to provide inputs for content selection decisions.

Custom content service

Device communication environment

A dynamic attention capacity service and/or a filtering application determine a current spare attention capacity of an occupant of a vehicle to process and/or respond to interactive options. The dynamic attention capacity service and/or the filtering application selectively adjust interactive options to be presented to the occupant of the vehicle based on the current spare attention capacity of the occupant of the vehicle.

Growing community of inventors

Mercer Island, WA, United States of America

Marco Argenti