Data Storage Migration Based on Collaborative Activity Relevance
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Solution Overview
Problem
Conventional data management systems rely on file age to determine the importance and relevance of data for users, which is inadequate as it does not account for collaborative activities, leading to inefficient data replication and archival processes.
Innovation Solution
A method and system that calculate a measure of relevancy for data items based on collaborative activity, allowing for selective migration between data storage devices, prioritizing data access and storage based on user relevance rather than age.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If data management is based on file age, then archival decisions are simple to implement, but the relevancy and importance of data to users is not accurately determined
Solution Approach 1:
The patent changes the parameter used for data management decisions from file age to collaborative activity metrics. Specifically, it uses parameters such as number of collaborators, frequency of collaboration, and recency of collaboration to dynamically determine data relevancy and migration decisions, replacing the static age-based parameter with multiple dynamic collaborative parameters.
2Ease of operation
If all data items are replicated across multiple storage devices, then data accessibility is improved, but storage complexity and resource consumption increase
Solution Approach 1:
The patent applies local quality by differentiating data migration decisions based on individual data item characteristics rather than treating all data uniformly. Each data item is evaluated against collaborative activity thresholds, and only data items meeting specific relevancy criteria are replicated or archived, creating localized optimization rather than global uniformity.
Solution Approach 2:
The patent implements partial action by selectively migrating only the most relevant data items based on collaborative activity thresholds. Instead of replicating all data across multiple storage devices, it performs partial replication only on data items that exceed the defined relevancy thresholds, reducing unnecessary storage operations.
3Speed
If data migration is performed frequently to maintain accessibility, then user access speed is improved, but system performance and energy consumption deteriorate
Solution Approach 1:
The patent implements periodic action by monitoring collaborative activity over time and triggering data migration only when specific thresholds are met. Rather than continuous or frequent migration, the system periodically evaluates collaborative activity metrics and performs migration decisions based on accumulated collaboration data, reducing unnecessary migration operations.
Solution Approach 2:
The patent uses feedback mechanisms by continuously monitoring collaborative activity and using this information to dynamically adjust data migration decisions. The system feedback loop tracks collaboration patterns and triggers migration only when relevancy thresholds are exceeded, optimizing the balance between accessibility and resource consumption based on actual usage patterns.
Data Source
AI summary
A computer-implemented method of managing data storage according to collaborative activity can include determining collaborative activity for each of a plurality of data items associated with a first user and stored within a first data storage device. The method can include calculating a measure of relevancy for each of the plurality of data items according to the collaborative activity and comparing the measure of relevancy of each of the plurality of data items to at least one relevancy threshold. Different ones of the plurality of data items can be selectively migrated from the first data storage device to a second data storage device according to the comparison of the measure of relevancy of each of the plurality of data items.