Master Controller for Reserve Computing Capacity
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Manual activation of reserve computing capacity is suboptimal for handling sudden demand spikes, as it is difficult to manage efficiently, especially during off-hours and short-time frame requirements.
Innovation Solution
A system and method that utilize a cluster of partition servers with a master controller to calculate the least costly resource enhancements by automatically migrating reserve processor licenses across partitions or servers, allowing for dynamic activation of inactive resources based on real-time cost analysis and resource availability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual activation of reserve capacity is used, then system simplicity is maintained, but response time to demand spikes increases and operational efficiency deteriorates
Solution Approach 1:
The workload management system automatically monitors server resource usage and activates reserve capacity without manual intervention. The system self-manages the activation process by detecting demand spikes and automatically deploying reserve processors, eliminating the need for user involvement while maintaining operational simplicity.
Solution Approach 2:
Reserve capacity is pre-configured and pre-positioned in the system but remains inactive until needed. When a demand spike is detected, the system has already prepared the activation mechanism and can immediately activate the reserve capacity, reducing response time while maintaining simplicity through automated preparation.
2Loss of time
If automatic migration of reserve processor licenses across partitions is implemented, then response time to demand spikes improves, but system complexity increases
Solution Approach 1:
The workload management system acts as an intermediary layer between the reserve capacity and the demand. It monitors resource usage patterns, calculates optimal migration scenarios, and executes the activation process. This intermediary abstraction hides the complexity of automatic migration from users while providing fast response to demand spikes.
Solution Approach 2:
The system continuously monitors server resource usage and feedback loops trigger automatic migration of reserve capacity when thresholds are exceeded. This feedback mechanism enables automatic response to demand spikes while managing complexity through structured monitoring and decision-making protocols.
3Stability of the object's composition
If reserve capacity is activated permanently rather than temporarily, then system stability improves, but cost to the user increases
Solution Approach 1:
The system dynamically adjusts the activation state of reserve capacity based on actual demand patterns. Rather than permanent activation, the system can activate capacity temporarily during spikes and deactivate it when demand normalizes, optimizing the balance between stability and cost by adapting the system state to current needs.
Solution Approach 2:
The system changes the temporal parameter of capacity activation, transitioning from permanent to temporary activation models. By adjusting activation duration and frequency based on demand analysis, the system maintains stability during needed periods while reducing overall cost through selective, time-limited activation rather than continuous permanent activation.
Data Source
AI summary
In one embodiment, a system and method is disclosed for changing the resource availability of a particular user in a manner calculated to add the least cost to the user. A cluster of partition servers are arranged, in one embodiment, with a master controller for keeping track at any point in time as to the different licensing costs involved with different methods of adding resource capacity. When a user requires additional capacity the system calculates which of several possible resource enhancements to initiate based upon a least cost analysis.