Cross-Data-Center Power Migration for Tier 2 Disaster Recovery
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Solution Overview
Problem
Conventional Tier 2 data centers lack the redundancy and automated disaster recovery capabilities of Tier 4 data centers, making them inadequate for critical systems and applications, while building Tier 4 centers is cost-prohibitive due to additional power distribution components required for redundancy.
Innovation Solution
A system and method for intelligent data center power management that continuously collects and analyzes data from infrastructure, application, power, and virtual machine elements, enabling dynamic load balancing and automated migration of application and power loads across multiple data centers without manual intervention, effectively providing Tier 4 redundancy levels in Tier 2 data centers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If Tier 4 data center design with 2N+1 redundancy is implemented, then reliability and disaster recovery capability are improved, but capital expenses and device complexity increase significantly
Solution Approach 1:
The patent implements dynamic load balancing that automatically redistributes power loads between data centers in real-time based on operational status, utility rates, and demand conditions. This dynamic approach replaces static 2N+1 redundancy hardware with flexible software-controlled load migration capabilities, achieving equivalent reliability without additional power distribution components
Solution Approach 2:
The system creates virtual copies of data center operations by maintaining synchronized data and application states across multiple data centers. Through virtualization and automated failover mechanisms, the system replicates the functional redundancy of Tier 4 hardware redundancy using software-based state copying and migration
2Device complexity
If Tier 2 data center design with single power distribution path is used, then capital expenses are reduced, but reliability and disaster recovery capability deteriorate
Solution Approach 1:
The patent introduces an automated load balancing system as an intermediary layer between the single power distribution path and the external environment. This intelligent mediator continuously monitors system status and automatically migrates loads to alternative data centers when failures occur, providing Tier 4-level disaster recovery capabilities through software mediation rather than hardware redundancy
Solution Approach 2:
The system transforms the static single power distribution path of Tier 2 into a dynamic multi-data-center architecture where loads can be automatically redistributed in real-time. The automated load balancing continuously adjusts power distribution decisions based on operational conditions, utility rates, and demand signals, enabling Tier 2 hardware to achieve Tier 4 reliability through dynamic adaptation
3Productivity
If automated load balancing and migration systems are implemented, then operational efficiency and energy cost optimization are improved, but system complexity and implementation cost increase
Solution Approach 1:
The automated load balancing system performs multiple functions simultaneously: it optimizes energy costs by shifting loads to off-peak hours, maintains Tier 4-level disaster recovery capability through automated failover, and improves operational efficiency via real-time load distribution. This multi-functional approach consolidates what would otherwise require separate systems into a single integrated platform
Solution Approach 2:
The system continuously collects data from utility energy markets, monitors data center operational status, and automatically adjusts load distribution based on real-time feedback. This closed-loop control enables the system to optimize energy costs, maintain reliability, and adapt to changing conditions without manual intervention, reducing the operational complexity despite the sophisticated automation logic
Data Source
AI summary
Systems and methods for intelligent data center power management and energy market disaster recovery comprised of data collection layer, infrastructure elements, application elements, power elements, virtual machine elements, analytics/automation/actions layer, analytics or predictive analytics engine, automation software, actions software, energy markets analysis layer and software and intelligent energy market analysis elements or software. Plurality of data centers employ systems and methods comprising a plurality of Tier 2 data centers that may be running applications, virtual machines and physical computer systems to enable data center and application disaster recovery from utility energy market outages. Systems and methods may be employed to enable application load balancing and data center power load balancing across a plurality of data centers by moving application and power loads from one data center location using power during peak energy hours to another data center location using power during off-peak hours.