Conditional Assistant Data Provisioning to Reduce Network Congestion
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Solution Overview
Problem
Existing automated assistant systems face inefficiencies in resource utilization and network congestion due to proactive and immediate pushing of updates across ecosystems of devices, leading to unnecessary resource consumption and transmission of stale data.
Innovation Solution
Implementing a conditional data distribution mechanism where assistant server devices selectively delay or omit the provision of assistant data to devices, based on server and network load, and instead provide notifications for clients to request updates when conditions are favorable, reducing resource strain and data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If assistant data is pushed immediately to all assistant devices as soon as possible, then data freshness is improved, but server hardware resources and network resources are overutilized
Solution Approach 1:
The system dynamically adjusts the provisioning timing of assistant data based on real-time server load conditions. When server hardware resources are below a threshold, data is provisioned immediately; when resources are overloaded, data provisioning is delayed. This dynamic adaptation resolves the contradiction by making the data freshness trade-off flexible rather than fixed, allowing the system to optimize between timeliness and resource utilization based on current conditions.
Solution Approach 2:
The system changes the timing parameter of data provisioning based on server resource conditions. Instead of always provisioning immediately, the system modifies the provisioning time parameter dynamically - provisioning data immediately when resources are available, and delaying provisioning when resources are constrained. This parameter change resolves the contradiction by allowing the system to adapt data freshness to resource availability.
2Loss of time
If assistant data is pushed immediately to all assistant devices, then data availability is improved, but network congestion occurs during spikes in provisioning
Solution Approach 1:
The system dynamically controls network data transmission based on server load conditions. When server resources indicate low load, data is transmitted immediately to devices. When server resources indicate high load, data transmission is delayed. This dynamic control prevents network congestion by spreading transmissions over time, while still maintaining data availability by transmitting as soon as conditions permit.
Solution Approach 2:
The system uses periodic checking of server resource conditions to determine when to provision data. Instead of continuous immediate provisioning, the system checks resource conditions periodically and provisions data at appropriate intervals when conditions are favorable. This periodic action resolves the contradiction by preventing network congestion through spaced-out transmissions while maintaining acceptable data availability.
3Speed
If assistant data is provided without delay, then response time is improved, but updated data may become stale and require additional updates
Solution Approach 1:
The system dynamically determines whether to provision data immediately or delay provisioning based on server resource conditions and data characteristics. For time-sensitive data, immediate provisioning occurs when resources are available. For less time-sensitive data, provisioning is delayed until resources are available. This dynamic approach resolves the contradiction by optimizing response time based on both data urgency and resource availability, reducing unnecessary re-provisioning.
Solution Approach 2:
The system uses feedback from server resource monitoring to control data provisioning timing. The server continuously monitors its hardware resource utilization and uses this feedback to decide whether to provision data immediately or delay provisioning. This feedback mechanism resolves the contradiction by allowing the system to adjust response time based on current resource conditions, preventing the waste associated with provisioning data that will quickly become stale.
4Stability of the object's composition
If push updates are sent as soon as possible, then data synchronization is improved, but hardware resources of assistant devices are overutilized
Solution Approach 1:
The system dynamically controls the timing of data provisioning to assistant devices based on server resource conditions. When server resources are available, data is provisioned immediately to maintain synchronization. When server resources are constrained, provisioning is delayed. This dynamic control resolves the contradiction by balancing data synchronization needs against the energy and processing resources available at both the server and device levels.
Data Source
AI summary
Implementations set forth herein relate to conditionally delaying fulfillment of client update requests in order to preserve network bandwidth and other resources that may be consumed when an ecosystem of linked assistant devices are repeatedly pinging servers for updates. In some implementations, a server device can delay and/or bypass fulfillment of a client request based on one or more indications that certain requested data is currently, or is expected to be, expired. For example, a user that is modifying assistant settings via a cellular device can cause an update notification to be pushed to several other assistant devices before the user finishes editing the assistant settings. Implementations herein can limit fulfillment of update requests from the client devices according to certain criteria-such as whether the user is continuing to modify the assistant settings from their cellular device.