Cloud Service Configuration for Time-Varying Specification Costs
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Solution Overview
Problem
Conventional technologies fail to support the examination of system specifications considering temporal changes, leading to potential mismatches between initially expected and dynamically changing business operation requirements.
Innovation Solution
An information processing apparatus and method that predicts required system specifications over time, calculates construction, running, and migration costs for candidate cloud services, and selects optimal configurations based on these predictions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional techniques are used for cloud service assessment and creation, then basic system configuration can be established, but temporal changes in system specifications cannot be considered
Solution Approach 1:
The system performs preliminary actions by predicting future specification requirements before actual changes occur. The prediction unit forecasts specification changes at future time points, allowing the system to proactively prepare and propose appropriate cloud service configurations in advance, rather than reacting to changes after they happen.
Solution Approach 2:
The system introduces dynamics by treating specification requirements as time-varying parameters rather than static values. The prediction unit generates temporal sequences of specification requirements, and the calculation unit dynamically adjusts cloud service configuration recommendations based on these changing requirements over time periods.
2Productivity
If system specifications are fixed at initial design stage, then implementation is straightforward, but changes in business operations lead to specification mismatches
Solution Approach 1:
The system implements feedback by using predicted future specification requirements to continuously refine and adjust cloud service configuration recommendations. The calculation unit receives feedback from the prediction unit about upcoming specification changes and modifies its configuration proposals accordingly, ensuring recommendations remain accurate and relevant throughout the system's operational lifecycle.
Solution Approach 2:
The system applies parameter changes by transforming static specification parameters into dynamic, time-dependent parameters. The prediction unit generates sequences of specification parameters at different time points, and the calculation unit uses these changing parameters to propose configurations that adapt to evolving business operation requirements rather than relying on fixed initial specifications.
3Measurement precision
If comprehensive cloud service combinations are evaluated, then optimal configuration can be found, but calculation complexity increases significantly
Solution Approach 1:
The system applies segmentation by dividing the complex evaluation process into distinct functional modules: a prediction unit that handles specification forecasting, a calculation unit that computes costs and configurations, and a selection unit that identifies optimal solutions. This modular segmentation allows each component to focus on specific tasks, reducing overall system complexity while maintaining comprehensive evaluation capabilities across multiple time periods.
Data Source
AI summary
An information processing apparatus includes: a storage apparatus that holds information about specifications required during each period, a cloud service, and various costs of the cloud service; and a processor that identifies combination patterns of candidate cloud services that meet the specifications during each period based on the information about the specifications and the cloud service, calculates a construction cost of the candidate cloud services during each period, a running cost, and a migration cost for each of the combination patterns, calculates a total cost for each of the combination patterns, and outputs information about a combination pattern whose total cost meets a predetermined criterion.