Decentralized Network Data Exchange Priority Batching
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Solution Overview
Problem
In decentralized networks, incomplete data exchanges due to unestablished interaction links can result in data loss, and existing systems fail to recover such interactions efficiently, leading to potential backlogs and downtime.
Innovation Solution
A system and method that dynamically manage data exchanges by assigning priority values and weights to incomplete requests, enabling their completion within predefined periods, and integrating incoming interaction management to initiate and prioritize data exchanges, thus preventing data loss and backlogs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data exchanges are monitored and incomplete requests are assigned priority values and weights, then data exchange reliability is improved, but device complexity increases
Solution Approach 1:
The system performs preliminary actions by assigning priority values and weights to incomplete data exchange requests before they are processed. This allows the system to proactively manage potential failures and ensure reliable data exchange by preparing recovery mechanisms in advance, rather than reacting to failures after they occur.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring data exchange status and adjusting priority values and weights based on observed conditions. When incomplete interactions are detected, the system feeds this information back into the batching operation to prioritize recovery, creating a closed-loop control system that improves reliability through adaptive response.
2Loss of time
If frozen batch orders are prioritized and fulfilled in timely manner, then downtime is reduced, but processor and memory usage increases
Solution Approach 1:
The system applies dynamics by making the priority values and weights adjustable rather than fixed. Priority values represent urgency and can be dynamically changed based on how long a request has been frozen, while weights represent time spent waiting and are updated as conditions change. This dynamic adjustment allows the system to optimize between reducing downtime and managing resource consumption efficiently.
Solution Approach 2:
The system changes parameters by modifying priority values and weights based on the state of incomplete requests. As requests remain frozen longer, their priority values and weights are adjusted, which changes the processing order in batching operations. This parameter change mechanism enables the system to reduce downtime for critical requests while managing overall processor and memory usage through controlled prioritization.
3Loss of information
If interaction links are established within certain time period, then data loss is prevented, but speed of data exchange may be reduced due to monitoring overhead
Solution Approach 1:
The system implements self-service by enabling incomplete data exchange requests to recover automatically through the priority-based batching mechanism. When interactions are not completed within the time period, the system automatically assigns priority values and requeues them for fulfillment, reducing the need for manual intervention and external recovery processes while preventing data loss.
Solution Approach 2:
The system applies partial action by monitoring only the critical aspects of data exchanges that determine completeness, rather than continuously analyzing all data flow details. This selective monitoring approach prevents data loss for incomplete interactions while minimizing the speed reduction overhead, as the system focuses computational resources on identifying and recovering failed exchanges rather than exhaustive analysis of all successful transfers.
Data Source
AI summary
An apparatus comprises a memory communicatively coupled to a processor. The memory may be configured to store data exchange requests. The processor may be configured to determine that a data exchange request of the data exchange requests comprises a status indicating that the data exchange request is incomplete, generate a priority value for the data exchange request indicating a batch priority associated with the data exchange request, and assign a weight for the data exchange request indicating that the data exchange request is expected to be completed in one or more batch orders. Further, the processor is configured to generate a batch order comprising a position in a queue corresponding to the batch priority and complete the data exchange request in the decentralized network in accordance with the position in the batch order.