Service Resource Management System for Cloud Cost Optimization
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Solution Overview
Problem
Current cloud systems and Internet Data Centers face challenges in managing service resources effectively, as they lack real-time cost confirmation and optimization, leading to inefficiencies and increased costs.
Innovation Solution
A service resource management system that includes a cloud data unit, a service group management unit with manual and automatic mapping modules, and a management UI for classifying and allocating resources to service groups, enabling real-time resource management and cost optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If cloud systems manage service resources without classification and real-time tracking, then resource availability and accessibility are improved, but cost optimization and utilization efficiency deteriorate
Solution Approach 1:
The patent segments service resources into classified categories using a service group management unit that organizes resources by service type, department, or function. This classification enables targeted cost tracking and optimization while maintaining overall resource accessibility through the structured framework.
Solution Approach 2:
The patent implements real-time feedback mechanisms through a resource management unit that continuously monitors resource allocation, usage patterns, and costs. This feedback loop enables dynamic cost optimization decisions while maintaining resource availability, as the system adjusts allocations based on real-time utilization data.
2Reliability
If cloud systems provide comprehensive resource management, then service quality is improved, but real-time cost confirmation capability deteriorates
Solution Approach 1:
The patent creates a multi-functional resource management system that simultaneously handles service quality assurance and real-time cost tracking. The service group management unit and resource management unit work together to provide both service quality maintenance and cost information visibility through integrated monitoring and management capabilities.
Solution Approach 2:
The patent introduces an intermediary resource management unit that bridges service delivery and cost tracking. This intermediary layer captures real-time cost information from resource allocations while maintaining service quality standards, preventing information loss between service operations and cost accounting.
3Device complexity
If manual resource allocation methods are used, then system complexity is reduced, but productivity and efficiency deteriorate
Solution Approach 1:
The patent implements self-service automation where the resource management unit automatically allocates resources to service groups based on predefined policies, service requirements, and available capacity. This automated self-service approach increases allocation productivity while keeping system complexity manageable through rule-based decision-making rather than complex manual processes.
4Productivity
If automated resource mapping is implemented, then productivity is improved, but system complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-configuring service groups, resource categories, and allocation policies before actual resource allocation occurs. This upfront preparation enables rapid automated mapping execution while containing system complexity, as the complex decision logic is established in advance rather than computed in real-time during allocation.
Data Source
AI summary
A service resource management system, including: a cloud data unit for storing a resource collected from a cloud service; a service group management unit for allocating the resource included in the cloud data unit to set a service group for providing a service; and a service group automatic generation module for automatically generating the service group for classifying the resource according to the setting thereof with the name including a key value or a tag value.