Data Center Resource Allocation Cost Evaluation
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Solution Overview
Problem
IT managers in the cloud computing industry face challenges in objectively identifying computational resource shortages and determining where to invest in computational resources due to the dynamic nature of virtual data centers and the lack of insight into resource allocation costs.
Innovation Solution
A method and system to evaluate resource allocation costs in data centers by computing industry benchmarks, allowing for comparison with the data center's resource allocation costs, thereby enabling IT managers to identify shortages and optimize resource investments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If enterprises use cloud computing providers to store and run applications, then computing needs are met through external services, but IT managers lack insight into resource allocation costs and cannot objectively identify computational resource shortages
Solution Approach 1:
The patent implements a feedback mechanism by continuously monitoring resource allocation costs in the cloud computing environment and providing this information back to IT managers through a user interface. The system collects cost data from multiple cloud providers, compares it with enterprise resource usage patterns, and presents actionable insights that enable managers to objectively identify computational resource shortages and make informed decisions about resource allocation.
2Productivity
If virtual data centers are used to consolidate numerous racks of servers and computing devices, then resource utilization improves, but management challenges increase due to the dynamic nature of VDCs
Solution Approach 1:
The patent introduces an intermediary system that acts as a mediator between the complex virtual data center environment and IT managers. This intermediary automatically collects, aggregates, and analyzes resource allocation data from multiple cloud computing providers, translating the complex dynamic behavior of VDCs into simplified cost metrics and insights that are easy to understand and act upon, thereby reducing management complexity while maintaining high resource utilization.
3Ease of manufacture
If enterprises purchase computing services from cloud computing providers, then infrastructure ownership is reduced, but ability to objectively identify where future investment should be made is diminished
Solution Approach 1:
The patent implements a feedback loop that continuously monitors resource allocation costs across multiple cloud computing providers and provides this information to IT managers through an intuitive user interface. The system analyzes cost patterns, identifies underutilized resources, and highlights areas where additional investment would provide the greatest value, enabling enterprises to make data-driven decisions about future computing service purchases even though they don't own the underlying infrastructure.
Data Source
AI summary
This disclosure is directed to methods and systems to evaluate resource allocation costs of a data center. Methods and systems compute resource allocation costs of a cloud computing industry to obtain industry benchmarks that are compared with the resource allocation costs of the data center. The comparisons enable IT managers to objectively identify computational resource shortages, resource over investments, and where future investment in computational resources should be made for the data center.