Microsoft Technology Licensing, LLC

Amazon Technologies, Inc.

Artem Zhurid

Stefan Thom

Christoph Saalfeld

Merzin Kapadia

Eeshan Shreeram Thakar

Shijia Yang

Louis Amadio

Alexandra Elizabeth Baoboe Lee

Suma SaganeGowda

Travis Davidson Bybee

A fleet-based migration system is described that can obtain requests to initiate network connections from individual client devices and divide the requests among one or more sets of endpoints with differing configurations. The endpoints initiate connection attempts based on the requests and capture data regarding the connection attempts. Using the captured data, the system can determine incompatibilities between client devices and fleet configurations and inform users of the incompatibility.

Fleet-migration based network compatibility analysis

The present disclosure generally relates to leveraging DNS (Domain Name Service) based client-side load balancing that directs IoT devices (clients) to network load balancer IP addresses. A management system obtains socket usage information about publicly accessible network load balancers. The system then uses socket thresholding information to determine whether individual network load balancers are exhausting a fixed set of available sockets. The system can then implement remedial actions to reduce individual network load balance presence to ensure that the IoT devices are equally distributed across all first layer network load balancers to maximize usage of capacity.

Network traffic distribution for network-based services

Techniques for controlling a voice activated feature of a voice activated device are described. Data from one or more sensors and data indicative of a status of a user are received. Based on the analyzing the data, a proximity of the user relative to the location of the voice activated device is determined. One or more voice activated features of the voice activated device are enabled based at least in part on the determined proximity, one or more rules, and one or more user preferences.

Voice enabled features based on proximity

Described are examples for authenticating a device including detecting an event related to communications with a trusted platform module (TPM) device, performing, in response to detecting the event, one or more security-related functions with the TPM device, such as generating and/or signing one or more digital certificates, which may be based on one or more keys on the TPM device.

Techniques for authenticating devices using a trusted platform module device

Methods and devices for creating a secure log of security events may include receiving a historical digest representing approved historical security events associated with a trusted network of devices. The methods and devices may include receiving one or more new security events. The methods and devices may include calculating, when a period of time has expired, a hash based on at least the historical digest and the one or more new security events and determining if a value of the hash is less than a value threshold. The methods and devices may include storing a new security event digest corresponding to a respective hash having a respective value less than the value threshold, wherein the new security event digest is confirmed by one or more trusted devices in the trusted network of devices.

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Bellevue, WA, United States of America

Artem Zhurid