Snap inc. (20240223490). DEVICE CLUSTERING simplified abstract

DEVICE CLUSTERING

Organization Name

snap inc.

Inventor(s)

Zahra Ferdowsi of Marina del Rey CA (US)

Michael Cieslak of Los Angeles CA (US)

Michael David Marr of Monroe WA (US)

Aysegul Cansizoglu of Los Angeles CA (US)

Xiaolin Shi of Santa Monica CA (US)

Hussein Mehanna of Los Gatos CA (US)

Caleb Ogden of Highland UT (US)

Yi Xu of Pasadena CA (US)

DEVICE CLUSTERING - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240223490 titled 'DEVICE CLUSTERING

Simplified Explanation: The patent application describes a method for clustering client devices based on their performance metrics and modifying the operation of an application based on these clusters.

• Client devices running an application are grouped into clusters based on similar performance metrics.
• The application's operation is adjusted according to the performance metrics of the client device.
• Features of the application are turned on or off based on the cluster to which the client device belongs.

Key Features and Innovation:

• Clustering client devices based on performance metrics.
• Modifying application operation based on device clusters.
• Turning application features on and off using a rule based on device clusters.

Potential Applications: This technology can be applied in various fields such as:

• Mobile computing
• Cloud computing
• Internet of Things (IoT) devices

Problems Solved:

• Efficient resource allocation based on device performance.
• Customizing application operation for optimal performance.

Benefits:

• Improved application performance.
• Enhanced user experience.
• Efficient resource utilization.

Commercial Applications: The technology can be utilized in industries such as:

• Telecommunications
• Data centers
• Software development companies

Prior Art: Prior research in the field of device clustering and application optimization may provide insights into similar technologies.

Frequently Updated Research: Stay updated on advancements in device clustering algorithms and application optimization techniques for the latest innovations in the field.

Questions about Device Clustering and Application Optimization: 1. How does clustering client devices based on performance metrics improve application performance? 2. What are the potential challenges in implementing this technology in real-world scenarios?

Original Abstract Submitted

clustering a plurality of client devices running an application as a function of a data structure such that the plurality of client devices are each assigned a cluster. client devices having similar performance metrics are assigned the same cluster. an operation of the application is modified as a function of the performance metrics of the client device. the modification of application operation is performed by turning certain features of the application on and off using a rule based on device cluster.