Workload Seeds for Infrastructure Configuration Analysis
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Solution Overview
Problem
Existing information handling systems face challenges in optimizing server configurations for specific workloads due to incomplete, inaccurate, or proprietary data from unstructured interactions and server logs, which can lead to suboptimal performance and inefficient resource allocation.
Innovation Solution
A method and system for performing workload analysis by receiving workload data, defining workload seeds, and identifying an optimal infrastructure configuration using a workload analytics system that includes a processor, data bus, and computer-readable storage medium with executable instructions to analyze data from various sources and recommend infrastructure configurations based on workload characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If workload analysis uses unstructured interactions and server logs, then data coverage is improved, but data accuracy and completeness deteriorate
Solution Approach 1:
The patent segments workload analysis into two distinct data sources: structured data from workload seeds (providing accurate, predefined workload characteristics) and unstructured data from interactions and logs (providing comprehensive coverage). By separating these sources and processing them through different pathways, the system maintains accuracy from seeds while incorporating the breadth of unstructured data without compromising overall data quality
Solution Approach 2:
The patent introduces workload seeds as an intermediary data source that mediates between the need for accurate workload definitions and the availability of unstructured operational data. Workload seeds serve as a reference framework that structures and validates information extracted from unstructured interactions and logs, ensuring accuracy while maintaining comprehensive data coverage
2Adaptability or versatility
If general purpose information handling systems are used, then versatility is improved, but configuration optimization for specific workloads deteriorates
Solution Approach 1:
The patent applies preliminary action by pre-defining workload seeds that capture essential workload characteristics and infrastructure configuration requirements before actual workload execution. These pre-configured seeds enable general-purpose systems to be quickly and accurately optimized for specific workloads by matching workload data against the predefined seed templates, maintaining both versatility and optimization reliability
Solution Approach 2:
The patent utilizes parameter changes by representing workloads and infrastructure configurations as configurable parameters within workload seeds. By adjusting these parameters based on matched workload characteristics, the system can dynamically optimize general-purpose information handling systems for specific workload requirements while maintaining overall system versatility
Data Source
AI summary
A system, method, and computer-readable medium for performing a workload analysis operation. The workload analysis operation incudes receiving workload data from a data source; defining a plurality of workload seeds, each of the plurality of workload seeds defining a particular type of workload; and, identifying a particular infrastructure configuration using the workload data and the plurality of workload seeds.