Application-Aware Storage Manager for Database Scaling
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Solution Overview
Problem
Conventional database management systems face limitations in scaling beyond two coupled systems due to complexity in implementing replicated architectures, which affects their capacity to handle large numbers of data queries and transactions efficiently.
Innovation Solution
A method for managing data storage based on application awareness, where an application-aware management interface provides a database interface to the data storage system, allowing for automatic allocation and generation of storage resources, enabling easy scaling of database applications across multiple storage systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If replicated database architecture is implemented to handle large numbers of data queries and transactions, then the capacity to handle workloads is improved, but the system complexity increases significantly
Solution Approach 1:
The patent introduces an application-aware storage manager as an intermediary component between the database management system and the storage subsystem. This manager automatically handles storage resource allocation, mapping, and management across distributed storage systems, thereby reducing the complexity of replicated database architectures while enabling them to handle larger workloads.
Solution Approach 2:
The storage manager performs self-service by automatically provisioning and managing storage resources based on application requirements. It dynamically allocates storage space, manages mapping between logical and physical storage locations, and handles storage operations without requiring manual configuration or complex architecture management, thus reducing overall system complexity.
2Device complexity
If manual configuration of storage resources is used for database systems, then device complexity is reduced, but the ease of operation and scaling is worsened
Solution Approach 1:
The storage manager enables self-service by automatically provisioning storage resources, dynamically allocating space, and managing storage mappings based on application needs. This eliminates manual configuration requirements and simplifies scaling operations, allowing database systems to be easily expanded without complex manual intervention.
Solution Approach 2:
The system performs preliminary actions by pre-configuring storage policies, allocation strategies, and mapping rules that are automatically applied when storage resources are needed. This preparation eliminates the need for manual configuration during scaling operations, significantly improving ease of operation while maintaining low complexity.
Data Source
AI summary
A method is used in managing data storage for databases based on application awareness. Content is received via any of a file system interface, a block based interface, and an object based interface to a data storage system, which executes a general purpose operating system. Based on software installed on the data storage system and running on the general purpose operating system, an application-aware management interface is used to provide a database interface to the data storage system. Based on the database interface, database queries are accepted at the data storage system.