System Control Processor Manager for Dynamic Resource Allocation
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Solution Overview
Problem
Existing computing systems face inefficiencies in providing computer implemented services due to inadequate resource allocation and management, leading to suboptimal performance and quality of services.
Innovation Solution
The system employs a three-resource set model to dynamically allocate and manage compute, control, and hardware resources, using a system control processor manager to instantiate and recompose information handling systems based on client requests, ensuring optimal resource utilization and service quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If computing devices include hardware components and software components to provide services, then service functionality is enabled, but resource allocation efficiency deteriorates leading to suboptimal performance
Solution Approach 1:
The patent introduces a system control processor manager as an intermediary component that sits between the hardware resources and the services. This manager dynamically allocates and manages compute, control, and hardware resources, resolving the contradiction by providing intelligent resource orchestration that improves service performance while abstracting away the management complexity from individual computing devices.
Solution Approach 2:
The patent implements dynamic resource allocation where the system control processor manager can reassign resources in real-time based on service demands. This dynamic approach allows the system to adapt resource distribution to changing conditions, improving productivity while the automated management reduces the effective complexity burden on operators.
2Reliability
If services are limited by hardware and software components, then resource requirements are constrained, but service quality deteriorates due to inadequate resource allocation
Solution Approach 1:
The patent creates a universal resource management system that can handle multiple types of resources (compute resources, control resources, hardware resources) through a single system control processor manager. This universal approach ensures reliable service quality across diverse resource types while improving overall resource utilization efficiency by optimizing allocations across the entire system rather than individually.
3Adaptability or versatility
If computing devices manage resources statically, then system simplicity is maintained, but service adaptability deteriorates leading to suboptimal resource utilization
Solution Approach 1:
The patent implements a self-service resource management system where the system control processor manager autonomously monitors service demands and reallocates resources without external intervention. This self-service capability provides high service adaptability to changing conditions while the automation reduces operational complexity, as the system manages itself without requiring complex external control mechanisms.
Data Source
AI summary
Techniques described herein relate to a method for building resource zone information, the method may include performing a discovery to obtain a set of compute resources, a set of target resources, and a set of fabric managers; constructing, based on the discovery, a topology and connectivity graph that includes the set of compute resources, the set of target resources, and connections between the set of compute resources and the set of target resources; selecting a compute resource of the set of compute resources; creating a zone comprising the compute resource; making a first determination, using the topology and connectivity graph, a subset of targets of the set of target resources that are connected to the compute resource; and adding the subset of targets to the zone.