Decision Tree Hardware Configuration Recommendations
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Determining optimal hardware configurations for data storage systems to meet specific customer needs is challenging, as existing methods often result in overprovisioning, leading to higher costs and inefficient I/O performance.
Innovation Solution
A method using a decision tree that recommends hardware configuration changes based on I/O workload features, clustering, and binning, which matches current configurations with suitable upgrades, considering costs, I/O response times, and historical selection percentages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If hardware configuration is increased to meet customer needs, then system performance is improved, but cost increases and overprovisioning occurs
Solution Approach 1:
The patent changes the parameters of hardware configuration by using a decision tree that evaluates multiple attributes (storage capacity, I/O performance, form factor, budget) to determine the optimal configuration. This allows the system to select appropriate hardware parameters without overprovisioning, matching resources precisely to customer needs rather than defaulting to maximum specifications.
Solution Approach 2:
The patent implements a dynamic configuration recommendation system that adapts to different customer scenarios. The decision tree dynamically selects hardware configurations based on real-time evaluation of customer requirements, workload characteristics, and budget constraints, rather than using static overprovisioned configurations.
2Ease of manufacture
If hardware configuration is optimized for specific needs, then cost efficiency is improved, but determining optimal configuration becomes more complex
Solution Approach 1:
The patent introduces a decision tree as an intermediary tool that simplifies the complex process of configuration determination. The decision tree acts as a mediator between customer requirements and hardware selection, breaking down complex decisions into a series of manageable questions and rules that guide the selection process systematically.
Solution Approach 2:
The patent segments the configuration determination process into distinct attributes (storage capacity, I/O performance, form factor, budget) and evaluates each separately through the decision tree. This segmentation transforms a complex overall decision into multiple simpler, independent evaluations that are easier to manage and execute.
3Loss of time
If default hardware configurations are used, then deployment speed is improved, but I/O performance may be insufficient for specific workloads
Solution Approach 1:
The patent performs preliminary action by pre-establishing the decision tree with all necessary rules, attributes, and logic before actual hardware configuration is needed. This allows the system to quickly evaluate customer requirements and recommend appropriate configurations without time-consuming analysis during deployment, thus reducing deployment time while ensuring performance adequacy.
Data Source
AI summary
Recommending configuration changes may include: receiving a decision tree comprising levels of nodes, wherein the decision tree includes leaf nodes each representing a different one of a plurality of hardware configurations, wherein a first leaf represents a first hardware configuration and the first leaf node is associated with a set of I/O workload features denoting a I/O workload of a first system having the first hardware configuration, wherein the set of I/O workload features is associated with an action from the first leaf node to a second leaf node, wherein the second leaf node represents a second hardware configuration and the action represents a hardware configuration change made to transition from the first to the second hardware configuration; and performing processing that determines, using the decision tree, a recommendation for a hardware configuration change for a second system having the first hardware configuration represented by the first leaf node.