Dynamic Workload Mapping for Real-Time Resource Routing
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Solution Overview
Problem
Conventional systems lack the capability to dynamically map and route workloads associated with applications to appropriate computing resources, leading to inefficient utilization of computing resources and reduced application performance.
Innovation Solution
A system and method for dynamically mapping and routing workloads to appropriate computing components by classifying workloads and resources based on computational needs and capabilities, assessing their compatibility, and optimizing resource allocation through real-time adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional systems are used for workload routing, then system simplicity is maintained, but computing resource utilization efficiency deteriorates
Solution Approach 1:
The patent introduces a workload mapping application as an intermediary component that sits between the applications and computing resources. This application dynamically maps workload requirements to appropriate computing components, enabling efficient resource utilization without requiring complex changes to the underlying system architecture. The intermediary handles the complexity of assessment and routing internally while presenting a simple interface to users.
Solution Approach 2:
The system implements continuous feedback mechanisms by assessing computing resources and workload requirements in real-time. The workload mapping application monitors resource performance, availability, and suitability, then uses this feedback to dynamically adjust workload routing decisions. This feedback loop enables the system to adapt to changing conditions and optimize resource utilization automatically.
2Reliability
If static workload assignment is used, then system complexity is reduced, but application performance deteriorates
Solution Approach 1:
The patent implements dynamic workload mapping where the assignment of workloads to computing resources is not fixed but continuously adjusted based on current conditions. The workload mapping application assesses both workload requirements and resource capabilities in real-time, enabling the system to adapt to changing performance requirements and resource availability, thereby maintaining high application performance without excessive complexity.
3Productivity
If dynamic assessment and routing is implemented, then computing resource efficiency is improved, but system complexity increases
Solution Approach 1:
The patent segments the workload management function into a distinct workload mapping application that operates independently from both the applications and the computing resources. This segmentation allows the complex assessment and routing logic to be isolated in a dedicated component, making the overall system more manageable. The workload mapping application handles the complexity of dynamic assessment internally while presenting simple interfaces to both applications and resources.
4Reliability
If real-time workload routing is implemented, then application performance is improved, but processing overhead increases
Solution Approach 1:
The workload mapping application performs preliminary assessment and mapping of workload requirements to computing resources before actual workload execution. By pre-establishing the optimal routing based on assessed compatibility, the system reduces the processing overhead during real-time execution. The preliminary mapping decisions are stored and used to quickly route workloads without requiring extensive real-time analysis, thus minimizing processing overhead while maintaining high application performance.
Data Source
AI summary
Embodiments of the present invention provide a system for dynamically mapping and routing workload requirements to appropriate computing components. The system is configured for identifying workloads associated with applications of an entity, classifying the workloads based on computational needs associated with the workloads, identifying resources associated with the entity, classifying the resources based on computational capabilities of the resources, performing assessment of the resources and the workloads, assigning each of the workloads to the resources based on performing assessment of the resources and the workloads, receiving real-time workloads associated with the applications, route the real-time workloads to the resources based on the assignment of each of the workloads to the resources.


