Data Management Optimization via Flow Topology Analysis
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Solution Overview
Problem
In computing environments, data management operations like encryption, deduplication, and compression often lead to redundant or contentious processes due to lack of information sharing among administrators responsible for different domains, resulting in inefficient resource usage and increased processing costs.
Innovation Solution
A management system that identifies and analyzes data components performing these operations, builds a data flow topology, and provides recommendations to optimize the sequence and configuration of data management operations, ensuring non-redundant and non-contentious execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data management operations (encryption, deduplication, compression) are performed independently by different administrators in different domains, then each domain can optimize its own security and data reduction strategies, but redundant and contentious operations occur across the computing environment, increasing resource consumption and processing overhead
Solution Approach 1:
The patent merges previously independent data management operations across different domains into a unified, coordinated system. The management system discovers data components across the entire computing environment and analyzes their interconnections to identify redundant operations. By consolidating control and visibility of data flows across domains, the system eliminates duplicate encryption, deduplication, and compression operations while maintaining security and data reduction effectiveness in each domain.
Solution Approach 2:
The management system implements continuous discovery and analysis of data component operations, using this information to optimize the configuration of data management operations. The system monitors data flows and operation outcomes, providing feedback to administrators about redundant or contentious operations. This feedback mechanism enables dynamic adjustment of operation sequences and configurations to minimize resource consumption while maintaining effectiveness.
2Reliability
If multiple data management operations are applied in different domains without coordination, then comprehensive security and data reduction coverage is achieved, but the operations may be redundant or in contention with each other, reducing overall efficiency
Solution Approach 1:
The patent transforms static, independent operation configurations into dynamic, adaptive configurations. The management system continuously discovers changes in data component operations and interconnections, then dynamically adjusts the configuration of data management operations across domains. This dynamic approach ensures that security and data reduction coverage is maintained while automatically adapting to eliminate redundancy and resolve contentions, thereby improving overall processing efficiency.
Solution Approach 2:
The management system provides universal coordination across multiple domains and operation types (encryption, deduplication, compression). Rather than domain-specific optimization, the system applies multi-functional analysis to all data management operations, identifying redundancies and contentions across the entire computing environment. This universal approach ensures comprehensive security and data reduction coverage while improving efficiency across all domains simultaneously.
3Ease of operation
If administrators lack information about data management operations and data flow topology in other domains, then each administrator can independently configure operations without complex coordination requirements, but this leads to redundant operations and increased resource consumption
Solution Approach 1:
The management system acts as an intermediary between administrators of different domains. Rather than requiring direct coordination between administrators or giving them access to sensitive domain-specific information, the management system discovers and analyzes data component operations and interconnections centrally. It then provides optimized configuration recommendations to administrators, enabling them to configure operations independently while avoiding redundancy and contentions that would otherwise require complex inter-administrator coordination.
Data Source
AI summary
Described are embodiments of an invention for optimizing a computing environment that performs data management operations such as encryption, deduplication and compression. The computing environment includes data components and a management system. The data components operate on data during the lifecycle of the data. The management system identifies all the data components in a data path, how the data components are interconnected, the data management operations performed at each data component, and how many data management operations of each type are performed at each data component. Further, the management system builds a data structure to represent the flow of data through the data path and analyzes the data structure in view of policy. After the analysis, the management system provides recommendations to optimize the computing environment through the reconfiguration of the data management operation configuration and reconfigures the data management operation configuration to optimize the computing environment.