Feature Phone Assistant Caching for Low-Latency Action Suggestions
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Solution Overview
Problem
Feature phones with limited hardware resources and operating systems face challenges in effectively implementing assistant client applications due to constraints such as limited network connectivity, resource usage, and background application execution, which hinder efficient rendering of assistant actions.
Innovation Solution
Proactive caching of transient assistant action suggestions at feature phones, where suggestions are prefetched from remote systems and stored locally with metadata, allowing for efficient rendering with minimal latency and reduced network reliance, even in poor connectivity conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If transient assistant action suggestions are fetched from remote systems in real-time, then the assistant functionality is available, but network bandwidth is consumed and latency increases in poor network conditions
Solution Approach 1:
The system proactively prefetches and caches transient assistant action suggestions and their corresponding metadata to local storage before they are needed. This preliminary action ensures that when the assistant client application needs to provide suggestions, they are already available locally, eliminating real-time network dependencies and reducing bandwidth consumption in poor network conditions
Solution Approach 2:
A local cache storage system acts as an intermediary between the remote assistant system and the assistant client application. The cache stores both the transient action suggestions and their metadata locally, allowing the application to retrieve information without constant remote communication, thus reducing network bandwidth usage while maintaining functionality
2Loss of information
If full text content of transient action suggestions is transmitted to remote systems, then complete information is provided, but data transmission efficiency decreases
Solution Approach 1:
The system extracts and transmits only the essential metadata portions of the transient action suggestions to remote systems, rather than transmitting the complete text content. This selective extraction maintains the functionality needed for action initiation while significantly reducing the amount of data that needs to be transmitted, thereby improving data transmission efficiency
Solution Approach 2:
The system creates and uses local copies of the transient action suggestions and their metadata stored in the cache. These local copies allow the assistant client application to provide suggestions and initiate actions using cached information without requiring repeated transmission of full content to remote systems, improving transmission efficiency
3Extent of automation
If assistant actions require remote system communication for execution, then centralized control is maintained, but response time increases due to network latency
Solution Approach 1:
The system proactively caches both the transient action suggestions and their corresponding metadata locally before they are needed. This preliminary caching action enables the assistant client application to execute actions locally using cached metadata without requiring real-time remote system communication, thus reducing response time while maintaining centralized control through selective metadata transmission
4Adaptability or versatility
If feature phones with limited hardware resources implement assistant applications, then functionality is provided, but performance is constrained by processing power and memory limitations
Solution Approach 1:
The system extracts and stores only the essential metadata portions of assistant actions locally on the feature phone, rather than storing complete action definitions or requiring full processing capabilities. This extraction approach reduces the computational burden and memory requirements on resource-constrained devices while maintaining the ability to provide assistant functionality
Solution Approach 2:
A local cache storage system acts as an intermediary that stores pre-processed metadata locally, reducing the computational workload on the feature phone's limited processing resources. The cache allows the device to function with reduced hardware requirements by handling data retrieval and basic processing locally rather than requiring powerful local computation
Data Source
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AI summary
Proactive caching, at a client device (e.g., a feature phone), of transient assistant action suggestions for selective rendering by an assistant client application of the client device. A transient assistant action suggestion, when rendered via an assistant client application and selected, causes the assistant client application to initiate performance of a corresponding assistant action. In various implementations, a prefetched transient action suggestion can be a time-constrained suggestion that includes at least associated rendering restriction metadata that defines one or more temporal windows to which rendering of the time-constrained suggestion is restricted. Proactive cache refresh rate metadata can also be associated with transient action suggestion(s) and defines a duration during which the assistant client application is to refrain from interfacing with a remote system to prefetch updated transient assistant action suggestions.