Sequential Log Data Management via Temporal Access Interface
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Solution Overview
Problem
Traditional storage and memory systems separate time-based and address-based virtualization, limiting client applications' access to underlying data logs and requiring them to track changes independently, which is inefficient and resource-intensive.
Innovation Solution
Implementing a method for time sequence data management that writes data in a sequential log-structure, allowing for temporal order preservation and access through a time sequence interface, enabling chronological access and recovery of data snapshots using era identifiers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional storage systems use address-based access, then data can be retrieved by address, but client applications cannot access underlying data logs and must track changes themselves
Solution Approach 1:
The patent combines address-based access and time-based access into a unified storage interface. The storage system maintains a sequential log structure that preserves both address mappings and temporal sequences, allowing clients to access data through either address or time without requiring separate virtualization layers. This merging eliminates the need for applications to independently track changes while maintaining full access to the underlying log structure.
2Reliability
If client applications track history of changes themselves, then they can maintain time dependency, but it becomes resource-intensive and inefficient
Solution Approach 1:
The storage system provides self-service by automatically maintaining the sequential log structure and temporal ordering of data. Instead of requiring client applications to track changes independently, the storage system inherently preserves the history of changes in chronological order within its log structure, making the tracking function automatic and eliminating the need for application-level resource consumption.
3Stability of the object's composition
If storage systems store data in a log structure, then chronological order is preserved, but access is still address-based rather than time-sequence based
Solution Approach 1:
The storage interface is designed to be universal, supporting both address-based access and time-sequence access through the same underlying log structure. Clients can query data by address, by time sequence, or by era identifiers, making the storage system adaptable to different access patterns without requiring separate storage mechanisms. This multi-functionality enables versatile access while maintaining chronological integrity.
4Stability of the object's composition
If data is written sequentially in a log structure, then temporal order is maintained, but storage capacity recovery events may disrupt the sequential order
Solution Approach 1:
The system performs preliminary actions by maintaining era identifiers and metadata that record the temporal context of data before storage capacity recovery events occur. When recovery events happen and data is rewritten to new locations, these pre-recorded identifiers allow the system to reconstruct and preserve the original sequential order, ensuring that temporal relationships are maintained even though physical storage locations change.
Data Source
AI summary
An apparatus, system, and method are disclosed for data management. The method includes writing data in a sequential log structure. The method also includes receiving a time sequence request from a client. The method further includes servicing the time sequence request based on a temporal order of the data in the sequential log structure.