Event Control Platform for Independent Data Storage and Processing
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Solution Overview
Problem
Computer systems face challenges in ensuring the safety, security, and efficient processing of large volumes of sensitive data while optimizing technical operations.
Innovation Solution
An event control computing platform that independently allocates and manages resources for data processing and storage, using centralized event control to authenticate, allocate, and authorize tasks, allowing for scalable and secure processing and storage capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data storage and processing are integrated in the same system, then operational efficiency is improved, but information security is compromised
Solution Approach 1:
The system divides the computing platform into separate processing components and storage components that operate independently. Processing nodes execute computational tasks while storage nodes manage data persistence, with communication occurring through standardized interfaces. This segmentation allows security policies to be applied differently to processing and storage operations, enhancing overall information security while maintaining processing efficiency.
Solution Approach 2:
The patent introduces event control mechanisms and standardized communication protocols as intermediaries between processing and storage components. These intermediaries coordinate data access and processing operations without requiring direct integration between components, enabling security validation and authorization checks to be performed centrally while maintaining operational efficiency.
2Device complexity
If storage and processing resources are allocated together, then system simplicity is maintained, but scalability is reduced
Solution Approach 1:
The computing platform is segmented into independent processing resources and storage resources that can be scaled separately. Processing nodes can be added or removed based on computational demands while storage capacity can be independently adjusted according to data retention requirements. This modular architecture maintains operational simplicity through standardized interfaces while providing flexible scaling capabilities.
Solution Approach 2:
The system employs dynamic resource allocation where processing and storage resources can be independently provisioned, adjusted, and de-provisioned based on changing operational requirements. Event control mechanisms enable real-time resource management and allocation adjustments without requiring system-wide reconfiguration, facilitating both simplicity and scalability.
3Reliability
If centralized control is implemented for security, then information security is improved, but processing speed is reduced
Solution Approach 1:
Security credentials, authorization policies, and access control rules are pre-configured and validated before data processing operations commence. Event control mechanisms perform security checks based on pre-established policies rather than evaluating security rules in real-time during processing, thereby maintaining information security while minimizing impact on processing speed.
Solution Approach 2:
The system implements event control with feedback mechanisms that monitor and regulate data flow between processing and storage components. Centralized control validates operations against security policies and provides feedback to coordinating nodes, enabling security enforcement without requiring continuous centralized intervention in every processing operation, thus balancing security with processing efficiency.
Data Source
AI summary
Aspects of the disclosure relate to enabling independent storage and processing of data with centralized event control. An event control computing platform may receive an indicator of a processing task associated with processing a dataset. Subsequently, the event control computing platform may authenticate the indicator of the processing task. Then the event control computing platform may identify and allocate resources for executing the processing task and storing the dataset. Finally, the event control computing platform may generate and transmit a series of commands to cause the dataset to be accessed by the processing platform, cause the processing task associated with the dataset to be executed, and cause the processed dataset to be stored on the storage platform.


