System-Replication Control Apparatus for Data Center Resource Balancing
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Solution Overview
Problem
Systems with disaster recovery functions face uneven resource usage rates among data centers, leading to potential resource shortages and additional investments in some centers, due to arbitrary selection of replication sites based on disaster recovery requirements.
Innovation Solution
A system-replication control apparatus that monitors resource usage across data centers, stores facility information, and selects a resource composition that satisfies replication conditions while minimizing costs, optimizing resource allocation to balance usage rates and reduce unnecessary investments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If replication destinations are selected based only on disaster recovery requirements, then system reliability is improved, but resource usage becomes uneven and costs increase
Solution Approach 1:
The patent changes the selection parameters for replication destinations from only disaster recovery requirements to include multiple factors: disaster recovery requirements, resource usage rates, and cost information. This multi-parameter approach allows the system to select destinations that satisfy reliability requirements while optimizing resource efficiency and cost-effectiveness.
Solution Approach 2:
The control apparatus performs multiple functions: monitoring resource usage states, storing facility information and cost data, evaluating replication conditions, and selecting optimal destinations. This multi-functional system resolves the contradiction by integrating disaster recovery requirements with resource optimization in a unified selection process.
2Reliability
If replication destinations are selected based only on disaster recovery requirements, then system reliability is improved, but additional investment is required in some data centers
Solution Approach 1:
The patent introduces cost information as a selection parameter alongside disaster recovery requirements. By evaluating both factors, the system identifies replication destinations that meet reliability standards while minimizing additional investment requirements in data centers.
Solution Approach 2:
The control apparatus monitors resource usage states and cost information, then uses this feedback to optimize replication destination selection. This feedback mechanism ensures that disaster recovery requirements are met while controlling investment costs by directing replication to cost-effective destinations.
3Loss of energy
If resource allocation is optimized to balance usage rates, then resource efficiency is improved, but system complexity increases
Solution Approach 1:
The control apparatus acts as an intermediary that centralizes the monitoring, evaluation, and selection functions. By concentrating these functions in a dedicated control system, the patent manages the complexity of optimizing resource allocation across multiple data centers while achieving improved resource efficiency.
Solution Approach 2:
The system automatically monitors resource usage states, evaluates replication conditions, and selects optimal destinations without manual intervention. This self-service capability handles the complexity of resource optimization internally, allowing the system to maintain balanced resource usage rates while reducing operational burden.
Data Source
AI summary
A system-replication control apparatus includes a processor that executes a process. The process includes: monitoring a use state of a resource in each of data centers; storing facility information indicating resources respectively held by the data centers and a use cost of the resources, and replication condition applied when each system is replicated in a resource of another data center; and selecting a resource composition that satisfies the replication condition and that costs lower than a currently-selected resource, as a replication destination of the system, from among available resources by referring to the use state of the resource obtained at the monitoring and the facility information.