Cloud Architecture Evaluation for Resource Sharing Constraints
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Solution Overview
Problem
Existing systems struggle to efficiently evaluate candidates for system architectures in cloud deployments that consider resource sharing, leading to difficulties in finding architectures that meet non-function requirements such as cost and stability when new systems are deployed on clouds with existing systems.
Innovation Solution
A design support system that includes a storage unit, memory, and processor to evaluate architecture candidates by considering resource sharing and non-function requirements, determining whether new systems can share resources with existing systems, and assessing whether they meet specified non-function requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If resource sharing between new systems and existing systems is considered in architecture evaluation, then cost reduction and stability improvement are achieved, but evaluation complexity increases
Solution Approach 1:
The evaluation process is segmented into distinct phases: first evaluating architecture candidates without considering resource sharing, then separately evaluating candidates that share resources with existing systems. This segmentation allows complex resource sharing evaluation to be performed only on specific candidates rather than all candidates, reducing overall evaluation complexity while still achieving comprehensive assessment.
Solution Approach 2:
The system performs preliminary evaluation of architecture candidates before considering resource sharing. By first identifying candidates that meet basic non-functional requirements independently, the system narrows down the evaluation scope, making the subsequent resource sharing evaluation more manageable and efficient.
2Measurement precision
If comprehensive evaluation of architecture candidates including resource sharing is performed, then architecture sufficiency is improved, but processing time increases
Solution Approach 1:
The evaluation is divided into two sequential stages: Stage 1 evaluates candidates without resource sharing considerations to quickly filter out unsuitable options, and Stage 2 performs detailed resource sharing evaluation only on the remaining candidates. This segmented approach maintains comprehensive evaluation precision while significantly reducing total processing time.
Solution Approach 2:
The system performs partial evaluation by focusing detailed resource sharing analysis only on architecture candidates that have already passed the initial screening. Rather than evaluating all possible candidates with full resource sharing analysis, the system applies the more time-consuming evaluation method only where necessary, optimizing the balance between precision and time efficiency.
Data Source
AI summary
A design support system that executes design support of an architecture of a cloud deployment system generates architecture candidates in the case of sharing of resources by new systems newly deployed on a cloud and operation systems which are operating on the cloud and architecture candidates in the case of non-sharing of the resources. For the architecture candidates in both the cases of sharing of the resources and non-sharing of the resources, architecture candidates meeting a non-function requirement of an operation system and a non-function requirement of a new system are determined as architectures deployed on the cloud.