Storage Rate Limiting for Accidental Data Deletion
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Solution Overview
Problem
Large storage systems face management complications due to multiple users creating and deleting data objects, leading to potential accidental deletions and data loss, which existing systems fail to adequately address.
Innovation Solution
Implementing a rate limit system within a data storage space that defines a default limit for operations such as object creation, deletion, migration, and archiving, with remedial actions like stopping or slowing operations that exceed these limits, and allowing users to override temporarily, ensuring data integrity and reducing accidental deletions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple users are allowed to create and delete data objects freely in a large storage system, then user productivity and ease of operation are improved, but the risk of accidental deletions and data loss increases
Solution Approach 1:
The system performs preliminary actions by establishing rate limits and monitoring mechanisms before data operations occur. The storage management system proactively defines maximum operation rates and implements monitoring to prevent accidental deletions before they happen, rather than reacting after data loss occurs.
Solution Approach 2:
The system implements continuous feedback by monitoring data operations in real-time, comparing actual operation rates against predefined rate limits, and triggering remedial actions when limits are exceeded. This closed-loop feedback mechanism allows the system to adapt and respond to unusual deletion patterns that may indicate accidental data loss.
2Reliability
If rate limiting is implemented to prevent accidental deletions, then data protection is improved, but system complexity and operational restrictions increase
Solution Approach 1:
The storage system is segmented into multiple independent components: rate limit definition module, operation monitoring module, comparison module, and remedial action module. Each component performs a specific function, making the overall system easier to manage and maintain despite the added complexity of rate limiting.
Solution Approach 2:
The storage management system provides self-service by automatically monitoring operations, comparing rates against limits, and implementing remedial actions without requiring constant human intervention. The system serves itself by managing its own data protection needs through automated rate limiting and monitoring.
3Reliability
If strict rate limits are enforced to reduce accidental data loss, then data integrity is improved, but user flexibility and ease of operation deteriorate
Solution Approach 1:
The rate limiting system is dynamic rather than static. Rate limits can be adjusted based on user roles, storage space characteristics, and operational patterns. The system adapts to different users and scenarios, providing appropriate levels of restriction rather than applying uniform constraints to all operations.
Solution Approach 2:
The system changes parameters such as rate limit values, monitoring thresholds, and remedial action triggers based on storage conditions and user behavior. By dynamically adjusting these parameters, the system maintains data integrity while accommodating legitimate high-volume operations that do not represent accidental deletions.
Data Source
AI summary
A method, computer program product, and computing system for defining at least a portion of a storage system as a data storage space. A rate limit is assigned to the data storage space, thus defining a default rate limit. Operations performed on objects within the data storage space are compared to determine if the default rate limit is exceeded. If the default rate limit is exceeded, one or more remedial actions are implemented concerning the operations performed on objects within the data storage space.