Workload-Aware Resource Transfer Timing for Compliance Control
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Solution Overview
Problem
Resource systems face issues such as network congestion, performance degradation, and non-compliance with regulatory standards due to uncontrolled resource transfers, leading to latency, data loss, and security vulnerabilities.
Innovation Solution
A system that generates a delay function based on real-time data and compliance standards to manage resource transfers, using a machine learning model to determine the duration of delay, thereby controlling the timing and order of transfers to prevent overload and ensure compliance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If resource transfers are processed without delay control, then transfer speed is improved, but network congestion and performance degradation occur
Solution Approach 1:
The patent implements dynamic delay control by adjusting the delay duration based on real-time resource system workload levels. The system transitions from static immediate transfer to dynamic conditional delay, where the delay function is continuously modified according to workload conditions, allowing the system to adaptively balance transfer speed and network performance.
Solution Approach 2:
The patent changes the timing parameter of resource transfers by introducing a delay function that modifies the transfer timestamp. Instead of immediate transfer at time T, the system calculates a new transfer time T+delay, where delay is determined by workload conditions, effectively changing the temporal parameter to prevent congestion while maintaining transfer integrity.
2Reliability
If resource transfers are delayed to prevent overload, then network performance is improved, but transfer time is increased
Solution Approach 1:
The system implements feedback control by continuously monitoring resource system workload levels and using this information to adjust delay functions in real-time. The feedback loop ensures that delays are applied only when necessary and for the minimum required duration, optimizing the balance between network performance and transfer time by adapting to changing workload conditions.
Solution Approach 2:
The delay function is made dynamic rather than static, allowing it to adjust its duration based on real-time workload conditions. When workload is low, delays are minimized or eliminated; when workload is high, delays are applied to prevent overload. This dynamic approach ensures that transfer time is only increased when necessary to maintain network performance.
3Reliability
If resource transfers are controlled based on workload, then compliance with regulatory standards is improved, but system complexity is increased
Solution Approach 1:
The system implements self-service compliance control where the resource management system automatically monitors its own workload and applies delay functions without external intervention. The system self-regulates by internally monitoring workload conditions and autonomously adjusting transfer timing to meet compliance requirements, reducing the need for complex external control mechanisms.
Solution Approach 2:
The feedback mechanism enables the system to automatically adjust its behavior based on monitored conditions, with the delay function continuously adapting to workload levels. This closed-loop control ensures compliance with regulatory standards while managing system complexity through automated, condition-based decision-making rather than complex manual control systems.
4Loss of time
If immediate resource transfers are processed, then user response time is improved, but data loss and security vulnerabilities increase
Solution Approach 1:
The system dynamically adjusts transfer timing based on real-time conditions, transitioning from immediate fixed-time transfer to conditional dynamic transfer. The delay function is activated only when security risks or data loss conditions are detected, allowing the system to maintain fast user response under normal conditions while providing protective delays when threats are identified.
Solution Approach 2:
The system applies preliminary protective measures by introducing delay functions that prevent potentially harmful transfers before they can cause damage. When conditions indicate risk of data loss or security vulnerabilities, the system proactively delays transfers to prevent harm rather than reacting after damage occurs, thereby protecting data while maintaining normal operational speed under safe conditions.
Data Source
AI summary
A system can be provided for controlling resource transfers based on standard requirements. For example, the system can receive a resource request from a user device. The resource request can be a request to transfer a resource from a first user account to a second user account via a resource system. The system can further receive real-time data from the resource system. The real-time data can be indicative of a workload of the resource system. The system can further apply a machine learning model to the resource request and the real-time data. The machine learning model can be configured to generate a delay function based on the resource request and the real-time data. The system can then generate, by the machine learning model, the delay function which can include a duration of time. Additionally, the system can transmit, subsequent to the duration of time, the resource request to the resource system.