Data Preservation for Node Evacuation in Unstable Mesh Networks
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Solution Overview
Problem
Mesh networks face challenges in data preservation due to environmental factors that can shorten the lifespan of nodes, and reliance on cloud resources which may not be available at all times, leading to difficulties in preventing data loss.
Innovation Solution
A Data Risk Mitigation Service (DRMS) is implemented within the mesh network, communicating with an administrator node to monitor node health and metadata, and using a rule engine to trigger mitigating actions such as rerouting incoming data and evacuating stored data to local or cloud storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If cloud resources are used to mitigate lost data, then data preservation capability is improved, but availability is worsened because cloud resources may not be available at all times
Solution Approach 1:
The patent implements local data preservation capabilities within individual mesh nodes through persistent storage, rather than relying uniformly on external cloud resources. Each node independently maintains its data with local redundancy, ensuring availability even when cloud resources are inaccessible.
Solution Approach 2:
The system performs preliminary data evacuation to persistent storage before nodes fail or go offline. The DRMS monitors node health and proactively transfers data to stable storage locations, preventing data loss before it occurs rather than relying on post-failure cloud recovery.
2Device complexity
If data is stored locally in nodes, then availability is improved, but data loss risk increases when nodes fail due to environmental challenges
Solution Approach 1:
The patent implements beforehand cushioning by creating redundant copies of data in persistent storage locations before node failure occurs. The DRMS monitors node stability and proactively evacuates data to protected storage, cushioning against the harmful effect of environmental challenges that cause node failure.
Solution Approach 2:
The system creates copies of data in persistent storage locations that are independent of the original volatile node storage. When nodes fail, the copied data in persistent storage can be recovered and restored to new nodes, ensuring data preservation despite node instability.
3Reliability
If DRMS monitors and evacuates data from unstable nodes, then data loss prevention is improved, but system complexity increases
Solution Approach 1:
The DRMS implements self-service by automatically monitoring node stability metrics and triggering data evacuation without external intervention. The system autonomously detects unstable nodes, initiates data transfer to persistent storage, and manages the entire data preservation process independently, reducing the need for complex external management infrastructure.
Data Source
AI summary
Described is a system and method that includes rerouting incoming data of a node to a first destination in response to determining that the node is in an unstable state, and evacuating data stored in the node to a second destination. Each destination of the first destination and the second destination comprises at least one of a persistent volume, a cloud storage, or another node in a mesh networkode.