Data Center Operation Plan Creation Using Hierarchical Optimization
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Solution Overview
Problem
Data centers face challenges in creating and optimizing cooperative operation plans among multiple operators with a three-layer relation, requiring high-speed replanning to adjust power consumption and minimize costs without disclosing device information.
Innovation Solution
An operation plan creation device and method using a hierarchical optimization technique, involving workload execution management servers and an operation plan server that calculate handling costs, update optimization equations, and create operation plans to adjust power consumption patterns without revealing individual workload information, enabling high-speed replanning and cost minimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If a hierarchical optimization technique is used to create cooperative operation plans among multiple operators with a three-layer relation, then the optimization speed is improved, but the complexity of coordinating multiple operators and their operation plans increases
Solution Approach 1:
The patent divides the three-layer operator system into distinct hierarchical levels (data center operator, DC user operator, and power transmission/distribution operator), where each layer independently optimizes their own operation plan. This segmentation allows parallel processing at each level while maintaining coordination through information exchange, thus improving optimization speed without proportionally increasing coordination complexity.
Solution Approach 2:
The patent introduces a hierarchical dimension to the optimization problem, transforming a potentially complex multi-variable coordination problem into a series of layered sub-problems. Each layer operates in its own optimization dimension, with results propagating upward or downward through the hierarchy, enabling faster computation while managing complexity through dimensional decomposition.
2Measurement precision
If device information is disclosed during creation of the cooperative operation plan, then the optimization accuracy is improved, but the security and privacy of individual operators is compromised
Solution Approach 1:
The patent introduces an intermediary mechanism where each operator provides aggregated or anonymized information to a coordination layer, which then synthesizes this information without requiring full disclosure of individual device details. This intermediary approach maintains optimization accuracy by preserving necessary operational patterns while protecting sensitive device information and operator privacy.
Solution Approach 2:
The patent uses virtual models or copies of device information rather than actual sensitive data in the optimization process. Each operator provides representative models of their devices and operations, which are used for coordination purposes without exposing real device identifiers, configurations, or proprietary operational details, thus maintaining both accuracy and security.
3Reliability
If repeated replanning is performed for the operation plan in the data center to optimize the cooperative operation plan with outside operators, then the overall optimization is improved, but the computational time and resources are increased
Solution Approach 1:
The patent performs preliminary optimization at each hierarchical level before final coordination, so that when replanning is triggered by external operators, the data center already has pre-optimized sub-plans in place. This preliminary action reduces the computational burden of repeated replanning operations while maintaining overall optimization quality.
Solution Approach 2:
The patent merges the optimization processes across different hierarchical levels into a coordinated unified approach. Rather than performing completely separate optimization cycles at each level, the system combines optimization objectives and constraints across layers, allowing replanning to propagate efficiently through the hierarchy and reducing redundant computational operations.
Data Source
AI summary
The invention achieves an increase in speed and optimization of a cooperative operation plan creation work between a data center operator and a user. In an operation plan creation method in a data center, an operation plan server calculates a handling cost to handle a given consumption pattern of a DC user when an operation plan of a created workload (WL) is to be created or changed, and creates an operation plan optimization equation for maximizing or minimizing an index such as a cost including the handling cost. At this time, a solution of the operation plan optimization equation is obtained such that a consumption pattern obtained by changing a consumption pattern in a past response history of the user according to a certain rule is available at a handling cost to handle the changed consumption pattern, thereby creating an operation plan draft for the consumption pattern of the user and a device held by a data center operator. The operation plan server confirms, to a WL execution management server, whether the operation plan draft can be executed, and instructs the WL execution management server to execute the operation plan draft.