Optimal Slot Placement for NVMe Drives in Multi-Socket Servers
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In multi-socket servers, there is no mechanism to recognize the optimum slot for hot inserting Non-Volatile Memory Express (NVMe) drives or controllers, affecting the performance of NVMe drives based on the processor's Peripheral Component Interconnect Express (PCIe) port they are attached to.
Innovation Solution
A program of instructions identifies a processing node for handling the processing load and determines optimal slots within a proximity domain for inserting an information handling resource, such as an NVMe drive, by considering available processing nodes, average load, and slot association, using ACPI constructs to provide user indication of optimal slots.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional approaches are used for NVMe drive insertion, then users can freely insert drives into any slot, but system performance cannot be optimized due to lack of guidance on optimal slot selection
Solution Approach 1:
The system performs preliminary identification of optimal slots before the user inserts the NVMe drive. The processor determines which slots are optimally positioned based on proximity domains and current load distribution, then provides this information to the user in advance, allowing informed insertion decisions that optimize performance without requiring complex real-time analysis
Solution Approach 2:
The system introduces an intermediary mechanism (the optimal slot identification program) that mediates between the user and the complex multi-socket server architecture. This intermediary translates the complex relationships between processors, slots, and load distribution into simple guidance information, enabling users to achieve optimal performance without needing to understand the underlying system complexity
2Adaptability or versatility
If NVMe drives are hot-plugged into multi-socket servers, then system flexibility and availability improve, but performance optimization becomes difficult without knowledge of processor proximity and load distribution
Solution Approach 1:
The system continuously monitors system state (processor loads, slot associations, proximity domains) and provides feedback to the user about which slots are currently optimal. This feedback mechanism allows users to make informed hot-plug decisions that align with current system conditions, ensuring performance optimization is maintained even as the system dynamically changes
Solution Approach 2:
Before the user performs the hot-plug operation, the system preliminarily evaluates all available slots based on current system state and identifies which ones will provide optimal performance. This preliminary analysis enables users to choose slots that will maintain or improve performance, rather than randomly selecting from available slots
Data Source
AI summary
In accordance with embodiments of the present disclosure, an information handling system may include: a plurality of processor sockets, each processor socket configured to receive a respective processor; a plurality of slots, each slot configured to receive a corresponding information handling resource; and a program of instructions embodied in non-transitory computer-readable media. The program of instructions may be configured to, when read and executed by one of the respective processors identify a processing node for handling a processing load of an information handling resource to be inserted into one of the slots, determine slots within a proximity domain of the processing node, and identify the slots within the proximity domain of the processing node as optimal slots for insertion of the information handling resource to be inserted.