Inter-Base Workload Migration for Renewable-Powered Data Centers
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing data center systems face challenges in efficiently managing workloads to optimize renewable energy utilization and power demand, particularly due to the instability of renewable energy sources and the limitations of interactive workloads, which cannot be delayed, leading to difficulties in spatial and temporal control.
Innovation Solution
A data center system and method that enables spatial control of workloads between bases and temporal control within a base, considering non-migratable time ranges to adjust power demand, using a base management computer and inter-base workload control system to manage workload allocation and relocation based on renewable energy supply and demand.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If workload migration between DC bases is restricted to non-migratable time ranges, then service continuity and user experience are maintained, but renewable energy utilization ratio cannot be optimized during these periods
Solution Approach 1:
The workload migration control is segmented into two independent control targets: spatial migration (between DC bases) and temporal migration (within the same DC base). This segmentation allows the system to apply different migration strategies to different workloads based on their characteristics, enabling optimization of renewable energy utilization while maintaining service continuity for critical workloads.
Solution Approach 2:
The system dynamically adjusts workload migration strategies based on real-time conditions. For workloads with non-migratable time ranges, the system uses temporal migration within the same DC base to adjust execution timing, while for migratable workloads, it uses spatial migration between DC bases. This dynamic approach optimizes renewable energy utilization without compromising service continuity.
2Use of energy by moving object
If temporal control is applied to batch jobs, then renewable energy utilization is improved by delaying execution, but processing time and productivity are affected
Solution Approach 1:
The system applies different control strategies to different types of workloads based on their local characteristics. Batch jobs, which can tolerate delays, are subject to temporal migration to optimize renewable energy utilization. Interactive workloads, which require real-time processing, are excluded from temporal migration and maintained with their original execution timing, thus preserving service quality and user experience.
3Use of energy by moving object
If spatial control is applied to migrate workloads between DC bases, then renewable energy utilization is optimized, but system complexity and migration overhead increase
Solution Approach 1:
The workload migration control system performs multiple functions through a unified framework: it handles both spatial migration (between DC bases) and temporal migration (within the same base), and accommodates both migratable and non-migratable workloads. This multi-functionality reduces overall system complexity by consolidating control logic rather than requiring separate mechanisms for each migration type.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
Power demand at each base is adjusted so as to improve a renewable energy utilization ratio at all bases. An inter-base workload control system manages an amount of excess power obtained by subtracting a power supply amount of the renewable energy power supply from a power consumption amount associated with execution of a workload in a future time range at the bases, spatial migratable time range information on a spatial migratable time range where spatial migration of migrating the workload in a future time range at the bases to another base is possible and temporal migratable time range information on temporal migration of delaying execution of the workload in the future time range at the bases within the same base and migrating the workload to another time range and a predicted amount of power consumption through execution of the workload in the future time range at the bases. The inter-base workload control system determines a power adjustment amount that moves through the spatial migration and the temporal migration of each workload in the future time range at the bases so that a sum total of excess power amounts at the plurality of bases becomes smaller.