Graph-Based Data Flow Control for SCP Subsystems
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Solution Overview
Problem
Conventional data flow control systems lack the ability to coordinate the operation of System Control Processor (SCP) subsystems across different locations, leading to inefficiencies in data manipulation and exchange, particularly in processing workloads that require multiple services across various SCP subsystems.
Innovation Solution
A graph-based data flow control system that identifies workloads, generates SCP-local and inter-SCP data flow control graphs to define how services within and between SCP subsystems manipulate and exchange data, and transmits these graphs to the subsystems to coordinate their operations effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional data flow control systems are used, then system simplicity is maintained, but the ability to coordinate services across multiple SCP subsystems deteriorates
Solution Approach 1:
The patent segments the data flow control into two distinct components: local data flow control graphs that manage services within individual SCP subsystems, and inter-SCP data flow control graphs that coordinate between subsystems. This segmentation allows each component to operate independently with well-defined interfaces, enabling complex multi-subsystem coordination while maintaining manageable complexity through modular design.
2Productivity
If graph-based data flow control is implemented, then service coordination efficiency improves, but data processing overhead increases
Solution Approach 1:
The patent performs preliminary action by pre-defining data flow control graphs that specify the complete coordination logic for services across SCP subsystems before runtime. These graphs are generated and validated in advance, allowing the system to execute pre-planned coordination sequences without performing complex real-time analysis, thereby improving coordination efficiency while minimizing runtime processing overhead.
3Productivity
If multiple services across different SCP subsystems are coordinated, then workload processing capability improves, but system reliability requirements increase
Solution Approach 1:
The patent implements feedback mechanisms where SCP subsystems report their service status, data flow states, and operational metrics back to the control plane. The control plane uses this feedback to dynamically adjust inter-SCP data flow control graphs, ensuring that coordination maintains system reliability even when processing complex workloads across multiple subsystems. Feedback loops enable real-time detection and correction of coordination issues.
Data Source
AI summary
A graph-based data flow control system includes a control plane system coupled to SCP subsystems. The control plane system identifies a workload, and identifies service(s) on the SCP subsystems for manipulating/exchanging data to perform the workload. The control plane system generates a respective SCP-local data flow control graph for each SCP subsystem that defines how their service(s) will manipulate/exchange data within that SCP subsystem, and generates inter-SCP data flow control graph(s) that define how service(s) provided by at least one SCP subsystem will manipulate/exchange data with service(s) provided by at least one other SCP subsystem. The control plane system then transmits each respective SCP-local data flow control graph to each of the SCP subsystems, and the inter-SCP data flow control graph(s) to at least one SCP subsystem, for use by the SCP subsystems in causing their service(s) to manipulate/exchange data to perform the workload.