18615704. ADAPTING TO DIFFERENCES IN DEVICE STATE REPORTING OF THIRD PARTY SERVERS simplified abstract (GOOGLE LLC)
Contents
- 1 ADAPTING TO DIFFERENCES IN DEVICE STATE REPORTING OF THIRD PARTY SERVERS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 ADAPTING TO DIFFERENCES IN DEVICE STATE REPORTING OF THIRD PARTY SERVERS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about the Technology
- 1.13 Original Abstract Submitted
ADAPTING TO DIFFERENCES IN DEVICE STATE REPORTING OF THIRD PARTY SERVERS
Organization Name
Inventor(s)
Yuzhao Ni of Sunnyvale CA (US)
ADAPTING TO DIFFERENCES IN DEVICE STATE REPORTING OF THIRD PARTY SERVERS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18615704 titled 'ADAPTING TO DIFFERENCES IN DEVICE STATE REPORTING OF THIRD PARTY SERVERS
Simplified Explanation
The patent application describes a system for characterizing the reliability of third-party servers reporting device statuses and adapting protocols for affected device ecosystems.
- The system identifies servers with high latency in updating device states and assigns a metric to measure their relative delay.
- When a server fails to meet a threshold, the system proactively retrieves device state updates instead of waiting for server updates.
Key Features and Innovation
- Characterizing reliability of third-party servers reporting device statuses.
- Adapting protocols for device ecosystems based on server reliability.
- Proactively retrieving device state updates from servers with high latency.
Potential Applications
This technology can be applied in various industries where real-time device status updates are critical, such as smart home systems, industrial automation, and healthcare monitoring.
Problems Solved
- Addressing delays in updating device states caused by unreliable third-party servers.
- Improving the accuracy of device status representation by assistant devices.
Benefits
- Enhancing the reliability and efficiency of device ecosystems.
- Minimizing the impact of server latency on user experience.
- Optimizing protocols for better performance in updating device statuses.
Commercial Applications
Title: Real-time Device Status Monitoring System This technology can be utilized by companies offering smart home solutions, IoT device manufacturers, and cloud service providers to improve the reliability and responsiveness of their systems. It can also benefit industries requiring real-time monitoring and control of devices.
Prior Art
Readers can explore prior research on server reliability, device status monitoring systems, and latency optimization in device ecosystems to understand the background of this technology.
Frequently Updated Research
Researchers are continuously studying ways to enhance the reliability and efficiency of device ecosystems, including improving server latency, optimizing protocols, and automating device status updates.
Questions about the Technology
How does this technology impact the reliability of device ecosystems?
This technology improves the reliability by proactively retrieving device state updates from servers with high latency, ensuring accurate and timely information for users.
What industries can benefit the most from this system?
Industries such as smart home automation, industrial IoT, and healthcare monitoring can benefit significantly from this system's ability to enhance device status monitoring and improve system responsiveness.
Original Abstract Submitted
Implementations herein relate to information describing one or more internal states of a technical system. Implementations herein are provided for characterizing reliability of various different third party servers, at least when reporting third party device statuses, as well as adapting protocols for device ecosystems affected by such reliability. Latency can affect accuracy of device states represented by assistant devices. Certain servers can be characterized as especially delayed when reporting an updated device state in response to a user request, and, as a result, the third party server can be correlated to a metric that characterizes the relative latency of the third party server. When the metric fails to satisfy a particular threshold, a server and/or client associated with the “ecosystem” of third party devices can affirmatively operate to retrieve device state updates, rather than passively await updates from a corresponding third party server.
