Disaggregated Node Configuration via Dynamic Address Assignment
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Solution Overview
Problem
Large computer systems with fixed topologies often result in resource imbalances and inefficiencies, as they are tailored for specific applications, leading to underutilization of components and increased costs and security risks in virtualized environments.
Innovation Solution
A dynamic node configuration approach that allows for the reconfiguration of computer systems by selecting and assigning unique address ranges to components within an intra-node network, enabling flexible allocation and reallocation of resources to optimize system performance and utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a fixed topology system is built with multiple CPUs, GPUs, and accelerators to address a particular computing need, then the system can handle the targeted application, but resource imbalance occurs and many components remain underutilized
Solution Approach 1:
The system divides the computer system into separate nodes, each with its own operating system and set of components. This segmentation allows different nodes to be configured with different resource combinations (CPU, GPU, accelerator ratios) optimized for different applications, eliminating the resource imbalance that occurs in fixed topology systems where all components must be available to each node.
Solution Approach 2:
The patent implements dynamic node configuration where the set of components assigned to each node can be changed based on application requirements. The system can dynamically allocate and reallocate components to different nodes, allowing the resource configuration to adapt to different computing needs rather than being fixed at system initialization.
2Adaptability or versatility
If virtualized systems are used to match application requirements to system components, then resource allocation flexibility improves, but implementation cost increases and security risks are heightened
Solution Approach 1:
Instead of using virtualization to share components across multiple applications, the system physically segments components into separate nodes, each dedicated to a specific application or workload. This eliminates the need for virtualization software and associated security risks while maintaining resource allocation flexibility through physical separation and dynamic reconfiguration.
Solution Approach 2:
The system creates multiple physical nodes that replicate the basic CPU-GPU-accelerator structure but with different component ratios and configurations. Each node is a complete, independent system that can be individually optimized for different applications, eliminating the need for complex virtualization software to create virtual copies of resources.
3Adaptability or versatility
If third-party virtualization systems are employed to provide virtual computer system access, then smaller entities can utilize larger systems, but control is reduced and system availability depends on third-party providers
Solution Approach 1:
The system implements self-service capabilities where each node runs its own operating system and manages its own components independently. This eliminates dependency on third-party virtualization providers, giving full control to the system operators while maintaining accessibility through standardized node interfaces and configurations.
Data Source
AI summary
An approach is disclosed that configures a computer system node from components that are each connected to an intra-node network. The configuring is performed by selecting a set of components, including at least one processor, and assigning each of the components a different address range within the node. An operating system is run on the processor included in the node with the operating system accessing each of the assigned components.