Workload-to-Cloud Migration Analysis Using Rule-Based Compatibility
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Solution Overview
Problem
Existing migration analysis tools for cloud computing are inadequate as they primarily focus on application-to-operating-system compatibility, failing to consider the diverse cloud configurations and cost factors essential for efficient workload migration, especially when designing private clouds.
Innovation Solution
A method and system that determine computing solution aspects based on workload factors, using a rule-based system to select compatible components that optimize cost and design a computing solution compatible with individual workloads, including the option to design a private cloud if necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If existing migration analysis tools focus only on application-to-operating-system compatibility, then the analysis process is simple, but the analysis comprehensiveness is insufficient for cloud migration
Solution Approach 1:
The patent segments cloud migration analysis into multiple independent aspect categories (hardware, software, network, security, cost, etc.), allowing comprehensive evaluation without overwhelming complexity. Each aspect is analyzed separately and then integrated to form a complete migration compatibility assessment.
Solution Approach 2:
The patent introduces a multi-dimensional analysis framework that extends beyond traditional binary compatibility checks to include cost, performance, security, and other cloud-specific dimensions, enabling comprehensive cloud migration assessment.
2Adaptability or versatility
If cloud configurations are expanded to accommodate diverse workload requirements, then the adaptability to different workloads improves, but the device complexity increases
Solution Approach 1:
The patent divides cloud configuration into standardized aspect categories (hardware, software, network, security, cost), making complex configurations manageable through structured segmentation. This allows diverse workload requirements to be met without overwhelming system complexity.
Solution Approach 2:
The patent creates a universal cloud aspect framework that can accommodate various cloud types (public, private, hybrid) and workload requirements through a common multi-dimensional analysis structure, enabling one system to serve multiple purposes.
3Reliability
If comprehensive cloud aspect analysis is performed to ensure workload compatibility, then the migration success rate improves, but the analysis time increases
Solution Approach 1:
The patent performs preliminary cloud aspect analysis and compatibility assessment before actual migration, identifying potential issues in advance. This preliminary evaluation ensures migration success while minimizing actual migration time by pre-resolving compatibility concerns.
Solution Approach 2:
The system automatically evaluates cloud aspects and generates compatibility assessments without requiring extensive manual analysis, reducing time loss while maintaining comprehensive evaluation for migration success.
Data Source
AI summary
Methods and systems for evaluating compatibility of a cloud of computers to perform one or more workload tasks. One or more computing solution aspects are determined that corresponding to one or more sets of workload factors, where the workload factors characterize one or more workloads, to characterize one or more computing solutions. The workload factors are compared to the computing solution aspects in a rule-based system to exclude computing solutions that cannot satisfy the workload factors. A computing solution is selected that has aspects that accommodate all of the workload factors to find a solution that accommodates the one or more individual workloads.