Provenance Storage Prioritization for Cloud Data Pipelines
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Solution Overview
Problem
Provenance systems in distributed cloud environments face challenges in managing vast arrays of configuration and policy combinations, leading to cumbersome handling and inefficient storage of metadata, which hinders effective utilization of provenance information.
Innovation Solution
A method and arrangement for managing provenance information in a distributed cloud environment that involves obtaining declarative intents, deriving storage requirements and priorities, estimating storage capacity, and reducing data amounts by compressing, removing indexing, or moving provenance information to remote storage when thresholds are met, ensuring efficient storage and access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If provenance systems capture a massive amount of provenance information over time, then the completeness and usefulness of provenance data is improved, but the storage capacity requirements and system complexity increase significantly
Solution Approach 1:
The patent segments provenance information into different priority levels (first level priority and second level priority), allowing the system to manage and store different types of provenance data differently. This segmentation enables the system to maintain complete provenance information while reducing complexity by organizing data hierarchically based on importance and access frequency.
2Adaptability or versatility
If a vast array of configuration and policy combinations are provided for provenance systems, then the adaptability and customization options are improved, but the ease of operation and configuration difficulty worsen
Solution Approach 1:
The system automatically derives storage requirements and priority levels from declarative intents without requiring manual configuration of complex policies. The configuration component autonomously determines storage capacity needs, data amount reductions, and priority assignments based on simple intent statements, eliminating the need for operators to navigate vast arrays of configuration options while maintaining adaptability.
3Quantity of substance
If the data amount for storage of provenance information is reduced by compressing or moving data, then the storage capacity efficiency is improved, but the access time and data retrieval speed may worsen
Solution Approach 1:
The patent applies different storage strategies to different priority levels of provenance information. First level priority data (which requires frequent access) is stored with higher quality and accessibility, while second level priority data (which can tolerate longer access times) is compressed or moved to remote storage. This local quality differentiation optimizes both storage capacity utilization and data access performance based on specific data characteristics.
Data Source
AI summary
A configuration component configured to manage provenance information associated with one or more interconnected provenance entities in a provenance system for data processing pipelines in a distributed cloud environment over a network interface. Each of the data processing pipelines is configured to read in data, transform the data, and output transformed data.