License Management System Dynamic Allocation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional license management systems either fail to distribute licenses evenly or waste available licenses due to insufficient utilization, leading to inefficient use and unnecessary waiting when the license server is fully loaded.
Innovation Solution
A license management system that calculates a usage grade for each device based on historical records and an algorithm, prioritizing the release of licenses from devices with higher usage rates to ensure fair distribution and notify users of availability, thereby optimizing license usage and reducing waiting times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the first mechanism is used (no limit on licenses per group), then licenses are obtained quickly by those who request first, but licenses cannot be evenly distributed and used
Solution Approach 1:
The system dynamically adjusts license allocation based on real-time usage patterns and historical data. Instead of static allocation rules, the license distribution mechanism adapts continuously by calculating usage grades for different devices and groups, allowing the system to balance acquisition speed and distribution fairness dynamically rather than relying on fixed prioritization rules
Solution Approach 2:
The system implements a feedback loop where license usage data is continuously collected, analyzed, and used to adjust future license allocations. By monitoring historical usage records and calculating usage grades, the system receives feedback on allocation effectiveness and automatically adjusts distribution decisions to improve both acquisition efficiency and fairness over time
2Ease of operation
If the second mechanism is used (limit licenses per group), then licenses can be evenly distributed, but remaining licenses cannot be effectively utilized
Solution Approach 1:
The system replaces static license quotas with dynamic allocation based on real-time usage grades. When usage limits are approached, the system automatically recalculates grades and reallocates licenses to devices with higher usage priorities, ensuring that license utilization efficiency is maintained while preserving distribution fairness through algorithmic adjustment rather than rigid limits
Solution Approach 2:
The system changes the parameter of license allocation from fixed group-based quotas to variable device-based usage grades. This parameter transformation allows the system to maintain fairness principles while improving utilization efficiency, as licenses are allocated based on calculated usage needs rather than predetermined group limits
3Adaptability or versatility
If manual license requests are used when server is fully loaded, then users can attempt to obtain licenses, but time and manpower are wasted due to repeated failed attempts
Solution Approach 1:
The system performs preliminary calculations of usage grades and predicts license availability before users need to request licenses. When the server is fully loaded, the system proactively identifies which devices are most likely to release licenses soon based on their usage patterns, allowing users to plan ahead and avoid repeated failed manual requests by knowing when license availability is expected
Solution Approach 2:
The system implements automated license request management that reduces manual intervention. By continuously monitoring usage grades and license availability, the system can automatically initiate license acquisition processes or notify users when licenses become available, eliminating the need for users to repeatedly manually request licenses and reducing both time and manpower waste
Data Source
AI summary
License management methods for use in a license management system are provided. The license management system includes licenses and first devices, each of which obtains one of the licenses. First, a license request from a second device is received and a license grade for each of the first devices and the second device is separately calculated based on a historical record of license usage corresponding to the first devices and the second device and an algorithm in response to the license request. Then, whether to agree the second device to obtain one of the licenses is determined according to the calculated grades and the number of remaining available licenses within the licenses.