Multi-Tier Resource Orchestration for Varied Load Allocation
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Solution Overview
Problem
Existing resource management systems face limitations in handling varied loads due to resource quantities, capacities, and capabilities, leading to sub-optimal process performance and results.
Innovation Solution
A system and method for multi-tier resource and load orchestration that includes interfaces for receiving electronic communications, processing digital identifiers, and mapping resource and load profiles to form content nodes, allowing access to resource and load specifications via a control interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If resource quantities and capacities are increased to handle varied loads, then process performance improves, but system complexity and costs increase
Solution Approach 1:
The patent segments the resource management system into multiple hierarchical tiers (first-tier resources directly handling loads, second-tier resources providing backup and overflow handling). This segmentation allows the system to scale capacity without proportionally increasing overall complexity, as each tier has specialized functions and can be managed independently.
Solution Approach 2:
The patent creates a multi-functional resource orchestration system where second-tier resources can serve multiple purposes: providing backup for first-tier resources, handling overflow loads, and being dynamically allocated based on demand patterns. This universality allows a single resource pool to address multiple operational requirements without requiring separate specialized systems for each function.
2Productivity
If resource allocation is optimized for specific loads, then efficiency improves, but adaptability to varied loads decreases
Solution Approach 1:
The patent implements dynamic resource allocation where the system continuously monitors load conditions and automatically adjusts resource assignment between tiers. First-tier resources are dynamically allocated to specific loads based on current demand, while second-tier resources remain available for reassignment. This dynamic approach allows the system to optimize for current loads while maintaining adaptability to future load variations.
Solution Approach 2:
The system incorporates feedback mechanisms that monitor resource utilization, load patterns, and performance metrics. Based on this feedback, the orchestration system adjusts resource allocation decisions, learning from historical patterns to improve future allocations. This feedback loop enables the system to maintain high efficiency for known load patterns while adapting to new and varied loads over time.
Data Source
AI summary
Electronic communications received via a network from a plurality of electronic devices may include signals of device interactions or data changes that correspond to process performances by process-performing resources, signals of conditions of loads, or signals of processes associated with the process-performing resources and the loads. Data composites may be formed from the electronic communications, with data portions collected and mapped to resource profile records and load profile records that may be updated with the collected data portions. For each load, at least one of the one or more resource profile records and/or the one or more load profile records may be used to map the process-performing resources to the load. Content nodes may be linked in a network of content nodes, including respective linked content, resource specifications or load specifications. Access to the network of content nodes may be allowed via a control interface.