Data Consolidation via Shared Common Portion and Separate Device Modifications
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Solution Overview
Problem
Existing data management systems require significant resources to maintain multiple copies of data across devices, leading to inefficiencies in memory and storage usage, especially when devices have similar or identical data configurations.
Innovation Solution
Implementing a data consolidation method where a single common data instance is shared among multiple devices, with device-specific modifications stored separately, allowing each device to access its unique data without replicating the common portion, using a storage domain server with a cache layer to conserve resources and provide cache-responsive access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If multiple copies of data are maintained for each device, then each device can access its data independently and quickly, but memory and storage resources are significantly consumed
Solution Approach 1:
The patent merges identical data portions across multiple devices into a single shared copy stored in the storage domain server. Instead of maintaining separate copies of common data (e.g., operating system files, application binaries) on each device, the system consolidates these into one master copy that can be accessed by multiple devices, thereby reducing total storage requirements while maintaining fast access through caching mechanisms.
Solution Approach 2:
The common data portion serves multiple devices simultaneously, making it a universal resource. The storage system is designed to provide multi-functional access where a single data copy can be served to numerous devices based on their individual needs, eliminating the redundancy of maintaining separate copies for each device while preserving independent access capabilities.
2Quantity of substance
If a single common data instance is shared among multiple devices, then resource consumption is reduced, but device-specific modifications must be managed separately
Solution Approach 1:
The patent segments data into two distinct portions: a common data portion that is identical across devices and a device-specific portion that contains unique modifications. This segmentation allows the system to store only one copy of the common portion while maintaining separate, smaller copies of device-specific portions, thereby reducing overall storage requirements while preserving the ability to manage individual device variations.
Solution Approach 2:
The storage domain server acts as an intermediary that manages the relationship between common data and device-specific modifications. It coordinates data access, handles updates to device-specific portions, and ensures that devices can access their customized data while the system maintains the consolidated common portion, thus managing complexity centrally rather than at each device level.
3Adaptability or versatility
If device-specific portions are kept separate from common data, then device uniqueness is preserved, but data access requires additional coordination
Solution Approach 1:
By segmenting data into common and device-specific portions, the system enables devices to maintain their unique customizations through the device-specific portion while efficiently accessing the common portion when needed. This segmentation allows flexible data access patterns where devices can retrieve common data shared by multiple devices or access their specific modifications independently.
Data Source
AI summary
Multiple devices are provided access to a common, single instance of data and may use it without consuming resources beyond what would be required if only one device were using that data in a traditional configuration. In order to retain the device-specific differences, they are kept separate, but their relationship to the common data is maintained. All of this is done in a fashion that allows a given device to perceive and use its data as though it was its own separately accessible data.