Dynamic Object Update for Local Storage Copy
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Solution Overview
Problem
Existing systems for disseminating updates to client devices via a centralized messaging system often result in excessive network traffic, as they transmit updates for all objects, regardless of usage, leading to inefficient data transfer and resource utilization.
Innovation Solution
Implementing a data store manager on client devices that monitors object usage and requests updates only for objects in use, maintaining a listing of 'fresh' objects and clearing it upon connection termination, ensuring that only necessary data is transmitted and updated.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If updates are transmitted for all objects regardless of usage, then data consistency is maintained, but network traffic increases excessively
Solution Approach 1:
The patent applies local quality by differentiating the update transmission strategy based on object usage status. Objects that are currently in use receive updates to maintain consistency, while objects not in use do not receive updates to reduce network traffic. This selective approach ensures that data consistency is maintained only where necessary, optimizing the balance between reliability and energy consumption.
2Loss of energy
If selective update transmission is implemented, then network traffic is reduced, but data consistency may be compromised
Solution Approach 1:
The patent implements dynamics by continuously monitoring the usage status of objects and dynamically adjusting the update transmission strategy. The system tracks which objects are currently in use and adapts the update mechanism accordingly, ensuring that updates are transmitted selectively to maintain consistency for used objects while avoiding unnecessary traffic for unused objects. This dynamic approach resolves the contradiction by making the system responsive to real-time conditions.
3Loss of information
If all objects are updated on every connection, then data freshness is ensured, but resource utilization becomes inefficient
Solution Approach 1:
The patent applies the taking out principle by extracting only the necessary subset of objects that require updates based on their usage status. Instead of transmitting updates for all objects, the system identifies and extracts only those objects that are currently in use and need to be updated. This selective extraction maintains data freshness for relevant objects while significantly improving resource utilization by avoiding unnecessary data transmission.
4Productivity
If monitoring and selective update requests are implemented, then network efficiency improves, but system complexity increases
Solution Approach 1:
The patent implements self-service by enabling the client device to autonomously monitor object usage and determine which objects require updates. The local system tracks usage status and automatically generates selective update requests without requiring complex centralized control mechanisms. This self-service approach improves network efficiency through intelligent selective updates while minimizing system complexity by distributing the monitoring logic to the client device.
Data Source
AI summary
To reduce the amount of data traffic flowing between a remote computing platform and a client device, a manager for a data store of the client device is configured to observe upserts to the data store for one or more objects for a current connection session reflected therein; track fresh objects of a plurality of objects stored within the local data store, wherein fresh objects are identified as having an upsert during the current connection session; observe gets from the data store for one or more objects of the plurality of objects, and upon detecting a get for a particular object, determining whether the particular object is fresh, and if the object is detected to be stale, initiate an upsert from the remote computing platform to the data store for the particular object.