Prioritized Link Ticketing Data Transfer System
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Solution Overview
Problem
Existing data transfer systems face inefficiencies and high processing demands due to burdensome data processing, particularly in managing communication exchanges between systems.
Innovation Solution
A computer-implemented method prioritizes links for data transfer using task scheduling, where data requesting systems are identified, authorized, and prioritized based on access rights, allowing for efficient communication exchanges and resource management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data transfer systems process all communication exchanges between systems, then complete data transfer is achieved, but processing demands on processors become excessively high
Solution Approach 1:
The patent segments data transfer processing by prioritizing communication exchanges into different queues based on link priority levels. High-priority exchanges are processed separately from low-priority ones, allowing the system to handle critical data transfers efficiently while managing overall processing loads without overwhelming the processor.
Solution Approach 2:
The system performs preliminary actions by establishing link priorities and creating prioritized queues before data transfer occurs. This advance organization of communication exchanges based on importance allows the processor to efficiently manage data transfers without needing to make complex decisions during peak processing periods.
2Productivity
If the system prioritizes certain data requesting systems over others, then processing efficiency is improved, but system complexity increases due to task scheduling mechanisms
Solution Approach 1:
The patent implements dynamic link priority assignment where priority levels can be adjusted based on current system conditions, data types, and access rights. This dynamic approach allows the system to adapt to changing requirements without requiring complex static scheduling structures, maintaining productivity while managing complexity through flexible, condition-based prioritization.
Solution Approach 2:
The system changes the parameter of link priority to manage processing efficiency. By varying priority levels as a controllable parameter based on access rights and data importance, the system achieves efficient processing without needing complex scheduling algorithms, as priority becomes a simple adjustable parameter rather than a complex scheduling decision.
Data Source
AI summary
A system and method for reassignment of tickets in a live event via network communications for scheduling data transfers between systems. One or more data requesting systems may request access to particular data for one or more tickets to a venue for the live event causing a task to be performed to exchange the particular data between a data accessing system having access to the particular data and a data requesting system requesting access to the particular data. In some embodiments, the communication exchange may be initiated based on a parameter included in the request that the task be performed.