Automated Resource Allocation in Cell-Based Systems
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current cell-based systems allocate resources based on hardware or software convenience, leading to inefficient allocation, where primary resources may be slow or error-prone, increasing the likelihood of unscheduled switchovers and resulting in data loss and system downtime.
Innovation Solution
An automated method and apparatus that evaluates and allocates resources in a cell-based system by considering desired availability and resource quality, dynamically re-allocating resources based on user-settable parameters, and ensuring the 'right' amount and quality of hardware is assigned to a particular operating system and resource farm, with the ability to select the best matching resources for each request.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If resources are allocated based on device address (e.g., resource 0), then allocation is simple and fast, but the allocated resource may be slow or error-prone, reducing system reliability
Solution Approach 1:
The system performs preliminary evaluation of all allocatable resources before allocation, assessing their operational characteristics (speed, error rates, etc.) in advance. This preliminary action ensures that when resources are allocated based on device address, the selected resource has already been vetted for reliability, thus maintaining both allocation simplicity and system reliability.
Solution Approach 2:
The system implements feedback mechanisms that continuously monitor resource performance and update evaluation data. This feedback loop allows the system to learn from past resource performance, improving future allocation decisions while maintaining the simplicity of address-based allocation by using pre-evaluated addresses.
2Ease of manufacture
If resources are allocated based on hardware convenience, then allocation is straightforward, but the allocated resource may not be the best match for the request, reducing productivity
Solution Approach 1:
The system changes the parameters used for resource evaluation by considering multiple factors beyond hardware convenience, such as operational characteristics, speed, error rates, and match quality. This multi-parameter approach maintains straightforward allocation while significantly improving resource utilization efficiency by selecting resources that best match the specific request requirements.
Solution Approach 2:
The system performs preliminary matching between resource requests and allocatable resources before allocation, evaluating how well each resource matches the specific request criteria. This preliminary action ensures that when resources are allocated based on hardware convenience, the selected resource is already optimized for the specific task, improving productivity without complicating the allocation process.
3Stability of the object's composition
If primary resource is always the same (e.g., resource 0), then allocation is consistent and simple, but if that resource is error-prone, unscheduled switchovers increase, causing data loss and downtime
Solution Approach 1:
The system applies local quality by evaluating and selecting specific resources based on their individual operational characteristics rather than using a uniform allocation rule. This allows the system to maintain allocation consistency by always selecting from evaluated resources while ensuring that the selected resource has the necessary quality attributes (low error rates, high availability) to prevent unscheduled switchovers.
Solution Approach 2:
The system performs preliminary evaluation of resource availability and error-proneness before establishing the primary resource allocation. This preliminary action ensures that the consistent primary resource selected is one that has been vetted for reliability, thus maintaining allocation consistency while preventing the selection of error-prone resources that would cause unscheduled switchovers, data loss, and downtime.
Data Source
AI summary
Embodiments of the invention provide a method and apparatus for automatically evaluating and allocating resources in a cell based system. In one method embodiment, the present invention receives a request to generate a cell based system of resources. A list of allocatable resources having corresponding evaluation data is then accessed. The request for the cell based system is then compared with the list of allocatable resources having corresponding evaluation data. The allocatable resources are then assigned to the cell based system.