IT Infrastructure Upgrade Recommendations via Workload Alignment
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Solution Overview
Problem
Scheduling application workloads on heterogeneous elements of information technology infrastructure is increasingly difficult due to the growing diversity of applications and workload sizes, as well as the complexity of modern IT infrastructure, which often lacks efficient methods to align abstract application requests with the available heterogeneous hardware resources.
Innovation Solution
A method that involves selecting configuration templates for each application workload by aligning them with hardware configuration templates in a repository, generating enhanced scheduling requests, and providing upgrade recommendations to optimize resource utilization and infrastructure modifications, utilizing a recommendation engine that aligns workload specifications with available IT infrastructure capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If heterogeneous elements of information technology infrastructure are used to support diverse application workloads, then the versatility and resource utilization efficiency are improved, but the scheduling complexity and difficulty of aligning abstract application requests with available hardware resources increase
Solution Approach 1:
The patent introduces an intermediary layer consisting of configuration templates and a recommendation engine that mediates between abstract application workload requests and the heterogeneous IT infrastructure. The configuration templates serve as standardized intermediaries that translate diverse application requirements into infrastructure-specific configurations, while the recommendation engine acts as an intelligent mediator that analyzes workload characteristics and recommends optimal infrastructure alignments, thereby reducing scheduling complexity without sacrificing versatility
Solution Approach 2:
The patent applies parameter changes by transforming abstract application workload parameters into concrete infrastructure configuration parameters through the recommendation engine. The system dynamically adjusts and maps workload parameters (such as compute requirements, storage needs, networking demands) to corresponding infrastructure parameters based on available heterogeneous resources, enabling automated alignment while maintaining adaptability to diverse application types
2Productivity
If configuration templates are selected by aligning application workload specifications with hardware configuration templates in a repository, then the resource utilization efficiency is improved, but the computational overhead and time required for template selection and alignment increase
Solution Approach 1:
The patent implements preliminary action by pre-establishing a repository of configuration templates that encode optimal alignments between application workload types and heterogeneous infrastructure elements. These templates are prepared in advance with pre-defined parameter mappings and compatibility rules, allowing the recommendation engine to quickly retrieve and match appropriate templates without performing complex real-time analysis, thereby reducing template selection time while maintaining high resource utilization efficiency
Solution Approach 2:
The patent uses copying by creating reusable configuration template instances that can be replicated and applied to multiple similar application workloads. Once an optimal configuration template is identified through alignment, it can be copied and instantiated for subsequent workloads with similar characteristics, eliminating the need to repeat the full alignment process and significantly reducing the time required for template selection while preserving resource utilization optimization
Data Source
AI summary
A method includes selecting, for each of a plurality of application workloads, first and second configuration templates based on aligning an application workload specification template with first and second pluralities of configuration templates in respective first and second repositories. The first repository is obtained by filtering the second repository using a local platform catalog representing capabilities provided by information technology infrastructure. The method also includes scheduling the application workloads to run on the information technology infrastructure utilizing respective ones of the first configuration templates each comprising a set of heterogeneous elements of the information technology infrastructure. The method further includes generating one or more upgrade recommendations for modifying the information technology infrastructure based on analysis of the first and second configuration templates selected for respective ones of the application workloads, and transmitting the one or more upgrade recommendations over a network to an operator of the information technology infrastructure.